upcube
Alibaba•Open weights•May 19, 2026

Qwen3.7 Max

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
46

score

Qwen3.7 Max scores 46 on the Artificial Analysis Intelligence Index, placing it well above average …

vs class avg: 28

Speed
206.4

output tokens/sec

Qwen3.7 Max generates output at 206.4 tokens per second (based on Alibaba's API), which is well …

Latency
2.57s

TTFT

Qwen3.7 Max has a time to first token (TTFT) of 2.57s (based on Alibaba's API), which is better …

Input Price
$2.50

/ 1M tokens

Qwen3.7 Max costs $2.50 per 1M input tokens (somewhat higher than average, median: $1.50) and $7. …

Output Price
$7.50

/ 1M tokens

Qwen3.7 Max costs $2.50 per 1M input tokens (somewhat higher than average, median: $1.50) and $7. …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Frontier research / complex reasoning

Reserve this model for the hardest requests; simpler or repetitive work should stay on cheaper routes.

Best for

  • Complex reasoning
  • Research synthesis
  • Hard coding tasks
  • Multi-step agentic workflows
  • Low-latency chat
  • High-value tasks where quality outweighs cost

Weak or unsuitable

  • High-volume chat
  • Simple classification
  • Cost-sensitive pipelines
  • Routine high-volume generation
  • Simple extraction or labeling

Routing recommendation

1

Lower-cost models for repetitive or high-volume work

2

Cache-backed reuse for repeated prompts

Cost pressure

Premium pricing — $2.50 / M input, $7.50 / M output. Use cheaper routes for repetitive or low-risk work.

Model-fit matrix

Use this model where capability pays for itself; route away where volume, latency, or budget dominate.

Use caseFitReasonRouting note
Complex reasoning & agentic workflowsExcellentIntelligence score 46 places this model among top performers. Suitable for multi-step analysis and agentic loops.Route complex tasks here; reserve simpler queries for cheaper models.
High-volume chat & customer-facingExcellentOutput speed 206.4 tokens/sec and capable intelligence make this suitable for real-time chat at scale.Ideal for interactive chat; enable caching for repeated queries.
Latency-sensitive applicationsModerateTTFT 2.57s — latency may be noticeable in interactive use.Consider routing latency-critical paths to faster models.
Cost-sensitive pipelinesModerateOutput pricing at $7.50 is premium. Route high-volume simple tasks to cheaper alternatives.Use only for high-value tasks; route simple queries to budget models.

Cost pressure

High

Pricing is premium — input $2.50, output $7.50. This model is expensive for high-volume or output-heavy workloads.

Cheaper substitutes

  • Lower-cost models for repetitive or high-volume work
  • Cache-backed reuse for repeated prompts

Route away when

  • Output-heavy tasks
  • High-frequency chat at scale
  • Simple queries that cheaper models handle well

Highlights

Key benchmark results at a glance.

Intelligence

Intelligence position

Open section

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Qwen3.7 Max scores 46 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28).

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashQwen3.7 Max: 4646QQwen3.7 MaxMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)gpt-oss-120b (high): 2424AIgpt-oss-120b (high)

Speed

Speed position

Open section

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Qwen3.7 Max generates output at 206.4 tokens per second (based on Alibaba's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s).

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Qwen3.7 Max: 206206QQwen3.7 MaxGemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-5.4 mini (xhigh): 179179AIGPT-5.4 mini (xhigh)GPT-5.4 (xhigh): 175175AIGPT-5.4 (xhigh)Grok 4.3 (high): 164164xGrok 4.3 (high)Gemini 3.1 Pro Preview: 152152GGemini 3.1 Pro PreviewMiniMax-M3: 9999?MiniMax-M3Claude Sonnet 5 (max): 8989AClaude Sonnet 5 (max)GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)

Context, Cost & Pricing

Price/value position

Open section

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Pricing is premium — input $2.50, output $7.50. This model is expensive for high-volume or output-heavy workloads.

$0.00$1.00$2.00$3.00$4.00$5.00DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)MiniMax-M3: $0.12$0.12?MiniMax-M3Grok 4.3 (high): $0.14$0.14xGrok 4.3 (high)Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraKimi K2.6: $0.35$0.35KKimi K2.6GLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Qwen3.7 Max: $1.06$1.06QQwen3.7 MaxClaude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

AA-Omniscience Index

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 4040AClaude Fable 5 (with fal…Gemini 3.1 Pro Preview: 3333GGemini 3.1 Pro PreviewClaude Opus 4.8 (max): 2727AClaude Opus 4.8 (max)Claude Opus 4.7 (max): 2626AClaude Opus 4.7 (max)Gemini 3.5 Flash: 2323GGemini 3.5 FlashGPT-5.5 (xhigh): 2020AIGPT-5.5 (xhigh)GPT-5.5 (high): 1818AIGPT-5.5 (high)Grok 4.3 (high): 1818xGrok 4.3 (high)GPT-5.5 (medium): 1717AIGPT-5.5 (medium)Claude Sonnet 5 (max): 1515AClaude Sonnet 5 (max)Qwen3.7 Max: 1414QQwen3.7 Max

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 FlashQwen3.7 Max: 4646QQwen3.7 Max

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 FlashQwen3.7 Max: 4646QQwen3.7 Max

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashQwen3.7 Max: 4646QQwen3.7 MaxMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 Ultra

Speed & Throughput

Output tokens per second and generation throughput.

Output Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Qwen3.7 Max: 206206QQwen3.7 MaxGemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-5.4 mini (xhigh): 179179AIGPT-5.4 mini (xhigh)GPT-5.4 (xhigh): 175175AIGPT-5.4 (xhigh)Grok 4.3 (high): 164164xGrok 4.3 (high)Gemini 3.1 Pro Preview: 152152GGemini 3.1 Pro PreviewMiniMax-M3: 9999?MiniMax-M3

Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Qwen3.7 Max: 206206QQwen3.7 MaxGemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)MiniMax-M3: 9999?MiniMax-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)

Latency & Response Time

Time to first token and end-to-end response latency.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s2.5s5s7.5s10sKimi K2.7 Code: 9.7s9.7sKKimi K2.7 CodeClaude Opus 4.7 (max): 8.9s8.9sAClaude Opus 4.7 (max)Claude Opus 4.8 (max): 7.6s7.6sAClaude Opus 4.8 (max)Grok Build 0.1 0616: 7.2s7.2sxGrok Build 0.1 0616DeepSeek V4 Pro (max): 7s7sDDeepSeek V4 Pro (max)GPT-5.5 (medium): 6.9s6.9sAIGPT-5.5 (medium)Kimi K2.6: 6.6s6.6sKKimi K2.6GLM-5.1: 6.3s6.3s?GLM-5.1GPT-5.5 (low): 6.1s6.1sAIGPT-5.5 (low)GPT-5.5 (high): 6s6sAIGPT-5.5 (high)Qwen3.7 Max: 2.4s2.4sQQwen3.7 Max

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s25s50s75s100sDeepSeek V4 Pro (max): 61s61sDDeepSeek V4 Pro (max)Kimi K2.6: 58s58sKKimi K2.6GLM-5.1: 48s48s?GLM-5.1Kimi K2.7 Code: 43s43sKKimi K2.7 CodeGrok Build 0.1 0616: 29s29sxGrok Build 0.1 0616MiniMax-M3: 20s20s?MiniMax-M3Qwen3.7 Max: 12s12sQQwen3.7 MaxGLM-5.2 (max): 9.2s9.2s?GLM-5.2 (max)Nemotron 3 Ultra: 9.1s9.1sNNemotron 3 Ultragpt-oss-120b (high): 6.4s6.4sAIgpt-oss-120b (high)

Context, Cost & Pricing

Context window size, cost per task, and token pricing.

Context Window

Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0500k1M1.5M2MGPT-5.4 (xhigh): 1.1M1.1MAIGPT-5.4 (xhigh)Qwen3.7 Max: 1M1MQQwen3.7 MaxGemini 3.5 Flash: 1M1MGGemini 3.5 FlashClaude Fable 5 (with fallback): 1M1MAClaude Fable 5 (with fal…GLM-5.2 (max): 1M1M?GLM-5.2 (max)DeepSeek V4 Pro (max): 1M1MDDeepSeek V4 Pro (max)Grok 4.3 (high): 1M1MxGrok 4.3 (high)MiniMax-M3: 1M1M?MiniMax-M3Claude Opus 4.8 (max): 1M1MAClaude Opus 4.8 (max)Claude Opus 4.7 (max): 1M1MAClaude Opus 4.7 (max)

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)GPT-5.5 (high): 0.10.1AIGPT-5.5 (high)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashGPT-5.5 (medium): 0.10.1AIGPT-5.5 (medium)GPT-5.4 (xhigh): 0.10.1AIGPT-5.4 (xhigh)GPT-5.5 (low): 00AIGPT-5.5 (low)GLM-5.1: 00?GLM-5.1Qwen3.7 Max: 00QQwen3.7 MaxGemini 3.1 Pro Preview: 00GGemini 3.1 Pro PreviewGLM-5.2 (max): 00?GLM-5.2 (max)

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

$0.00$1.00$2.00$3.00$4.00$5.00Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…Qwen3.7 Max: $1.06$1.06QQwen3.7 MaxGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Kimi K2.6: $0.35$0.35KKimi K2.6Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraGrok 4.3 (high): $0.14$0.14xGrok 4.3 (high)MiniMax-M3: $0.12$0.12?MiniMax-M3gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050100150GPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)GPT-5.5 (high): 119119AIGPT-5.5 (high)Gemini 3.5 Flash: 114114GGemini 3.5 FlashGPT-5.5 (medium): 9999AIGPT-5.5 (medium)GPT-5.4 (xhigh): 8989AIGPT-5.4 (xhigh)GPT-5.5 (low): 6565AIGPT-5.5 (low)Gemini 3.1 Pro Preview: 4949GGemini 3.1 Pro PreviewQwen3.7 Max: 4848QQwen3.7 MaxGLM-5.1: 4040?GLM-5.1Qwen3.6 Plus: 3535QQwen3.6 Plus

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MClaude Opus 4.8 (max): 3131AClaude Opus 4.8 (max)Claude Sonnet 4.6 (max): 1818AClaude Sonnet 4.6 (max)GPT-5.4 (xhigh): 1818AIGPT-5.4 (xhigh)Gemini 3.1 Pro Preview: 1414GGemini 3.1 Pro PreviewClaude Sonnet 5 (max): 1212AClaude Sonnet 5 (max)Claude Sonnet 5 (Non-reasoning): 1212AClaude Sonnet 5 (Non-rea…Gemini 3.5 Flash: 1111GGemini 3.5 FlashQwen3.7 Max: 1010QQwen3.7 MaxGLM-5.2 (max): 6.16.1?GLM-5.2 (max)GLM-5.1: 6.16.1?GLM-5.1cache Hitinputoutput

Time per Intelligence Index Task

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

02468Claude Opus 4.8 (max): 6.86.8AClaude Opus 4.8 (max)Qwen3.6 Plus: 6.46.4QQwen3.6 PlusClaude Opus 4.7 (max): 5.95.9AClaude Opus 4.7 (max)Kimi K2.7 Code: 55KKimi K2.7 CodeGLM-5.1: 4.94.9?GLM-5.1Claude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 3.93.9?MiniMax-M3Grok Build 0.1 0616: 3.83.8xGrok Build 0.1 0616GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)GPT-5.4 (xhigh): 33AIGPT-5.4 (xhigh)Qwen3.7 Max: 1.51.5QQwen3.7 Max

Additional Benchmarks

Further benchmark and comparison data.

AA-Briefcase Elo

AA-Briefcase is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51Claude Fable 5 (with fallback): 00AClaude Fable 5 (with fal…Claude Sonnet 5 (max): 00AClaude Sonnet 5 (max)Claude Opus 4.8 (max): 00AClaude Opus 4.8 (max)Claude Opus 4.7 (max): 00AClaude Opus 4.7 (max)GLM-5.2 (max): 00?GLM-5.2 (max)GPT-5.5 (xhigh): 00AIGPT-5.5 (xhigh)MiniMax-M3: 00?MiniMax-M3GPT-5.5 (high): 00AIGPT-5.5 (high)Claude Sonnet 4.6 (max): 00AClaude Sonnet 4.6 (max)GPT-5.5 (medium): 00AIGPT-5.5 (medium)Qwen3.7 Max: 00QQwen3.7 Max

Output Tokens per Intelligence Index Task

Weighted average number of output tokens used to run one task in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050001000015000MiniMax-M3: 1162311623?MiniMax-M3Grok Build 0.1 0616: 1013110131xGrok Build 0.1 0616Gemini 3.5 Flash: 98199819GGemini 3.5 FlashClaude Opus 4.7 (max): 97579757AClaude Opus 4.7 (max)Claude Sonnet 5 (Non-reasoning): 97099709AClaude Sonnet 5 (Non-rea…GLM-5.1: 96859685?GLM-5.1Qwen3.6 Plus: 80478047QQwen3.6 PlusNemotron 3 Ultra: 77977797NNemotron 3 UltraClaude Fable 5 (with fallback): 76967696AClaude Fable 5 (with fal…gpt-oss-120b (high): 75717571AIgpt-oss-120b (high)Qwen3.7 Max: 45744574QQwen3.7 Max

Specifications

Technical Specifications

Qwen3.7 Max scores 46 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28). Qwen3.7 Max generates output at 206.4 tokens per second (based on Alibaba's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s). Qwen3.7 Max costs $2.50 per 1M input tokens (somewhat higher than average, median: $1.50) and $7.50 per 1M output tokens (better than average, median: $8.40), based on Alibaba's API.

Qwen3.7 Max

Model type
Open weights
Reasoning
Yes
Input modalities
Qwen3.7 Max supports text input.
Output modalities
Qwen3.7 Max supports text output.
Context window
Qwen3.7 Max has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Open weights / source
No, Qwen3.7 Max is proprietary. The model weights are not publicly available.
Parameters
Qwen3.7 Max is a proprietary model and Alibaba has not disclosed the model size or parameter count.
API availability
Yes, Qwen3.7 Max is available via API through 3 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Qwen3.7 Max.

Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.

Frequently Asked Questions