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Mistral•Open weights•September 17, 2024

Mistral Small (Sep)

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
5

score

Mistral Small (Sep '24) scores 5 (estimated) on the Artificial Analysis Intelligence Index, placing …

vs class avg: 6

Speed
162.5

output tokens/sec

Mistral Small (Sep '24) generates output at 162.5 tokens per second (based on Mistral's API), which …

Latency
0.80s

TTFT

Mistral Small (Sep '24) has a time to first token (TTFT) of 0. …

Input Price#57/74
$0.20

/ 1M tokens

Mistral Small (Sep '24) costs $0.20 per 1M input tokens (somewhat higher than average, median: $0. …

Output Price#58/74
$0.60

/ 1M tokens

Mistral Small (Sep '24) costs $0.20 per 1M input tokens (somewhat higher than average, median: $0. …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Budget-friendly / task-specific model

Best for high-volume, simple, or domain-specific tasks where cost or speed matters more than deep reasoning.

Best for

  • Simple Q&A
  • High-throughput chat
  • Classification
  • Extraction
  • Low-latency chat
  • Interactive turn-taking

Weak or unsuitable

  • Complex reasoning
  • Creative writing
  • Multi-step tasks

Routing recommendation

1

Use the fit matrix to compare against cheaper routes when volume rises

Cost pressure

Competitive pricing — $0.20 / M input, $0.60 / M output. Cost pressure is low enough for sustained production use.

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 workflowsWeakIntelligence score 5 is better suited for straightforward tasks than multi-step reasoning.Avoid routing complex agentic tasks to this model.
High-volume chat & customer-facingStrongOutput speed 162.5 tokens/sec is adequate for chat.Suitable for chat; monitor latency under concurrent load.
Latency-sensitive applicationsExcellentTTFT 0.80s — among the lowest latencies, suitable for interactive latency-critical use cases.Good first choice for real-time applications.
Cost-sensitive pipelinesStrongOutput pricing at $0.60 is reasonable for moderate volume.Suitable for production; review costs as volume grows.

Cost pressure

Low

Pricing is competitive — input $0.20, output $0.60. Suitable for sustained production use.

Cheaper substitutes

No cheaper substitute is supported by the current price data.

Route away when

  • Extreme scale where even low costs matter

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

Mistral Small (Sep '24) scores 5 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other open weight non-reasoning models of similar size (median: 6).

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 FlashMiniMax-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)Mistral Small (Sep): 4.74.7MiMistral Small (Sep)

Speed

Speed position

Open section

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

Mistral Small (Sep '24) generates output at 162.5 tokens per second (based on Mistral's API), which is well above average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s).

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small (Sep): 163163MiMistral Small (Sep)Mistral Small 3.2: 147147MiMistral Small 3.2Llama 3.1 8B: 144144MLlama 3.1 8BMiniMax-M3: 9999?MiniMax-M3Ministral 3 8B: 9393?Ministral 3 8BGPT-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 competitive — input $0.20, output $0.60. Suitable for sustained production use.

$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)Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

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…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-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)Mistral Small 3.1: 1515MiMistral Small 3.1

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…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-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)Mistral Small 3.1: 1515MiMistral Small 3.1

Artificial Analysis Openness Index: Score

Openness Index assesses model openness on a 0 to 100 normalized scale (higher is more open) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

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

050100Nemotron 3 Ultra: 8383NNemotron 3 UltraGranite 4.1 30B: 6161?Granite 4.1 30BDeepSeek V4 Pro (max): 5050DDeepSeek V4 Pro (max)Gemma 3 27B: 5050?Gemma 3 27BGemma 3 12B: 5050?Gemma 3 12BGLM-5.2 (max): 4444?GLM-5.2 (max)gpt-oss-120b (high): 3939AIgpt-oss-120b (high)Qwen3.6 27B: 3939QQwen3.6 27BMistral Small 3.2: 3939MiMistral Small 3.2Kimi K2.6: 3333KKimi K2.6

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 FlashMiniMax-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)Mistral Small (Sep): 4.74.7MiMistral Small (Sep)

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)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small (Sep): 163163MiMistral Small (Sep)Mistral Small 3.2: 147147MiMistral Small 3.2Llama 3.1 8B: 144144MLlama 3.1 8BMiniMax-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)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small (Sep): 163163MiMistral Small (Sep)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.

0s2.5s5s7.5s10sQwen3.6 27B: 8.3s8.3sQQwen3.6 27BDevstral Small 2: 7.4s7.4s?Devstral Small 2Claude Fable 5 (with fallback): 7.1s7.1sAClaude Fable 5 (with fal…DeepSeek V4 Pro (max): 7s7sDDeepSeek V4 Pro (max)Kimi K2.6: 6.6s6.6sKKimi K2.6Ministral 3 14B: 6.4s6.4s?Ministral 3 14BGPT-5.5 (xhigh): 5.7s5.7sAIGPT-5.5 (xhigh)Ministral 3 8B: 5.4s5.4s?Ministral 3 8BMiniMax-M3: 5s5s?MiniMax-M3Llama 3.1 8B: 3.5s3.5sMLlama 3.1 8BMistral Small 3.2: 3.4s3.4sMiMistral Small 3.2

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 K2.6MiniMax-M3: 20s20s?MiniMax-M3GLM-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)Mistral Small 3.2: 0s0sMiMistral Small 3.2Mistral Small 3.1: 0s0sMiMistral Small 3.1Mistral Small (Sep): 0s0sMiMistral Small (Sep)Ministral 3 8B: 0s0s?Ministral 3 8B

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.

0250k500k750k1MGemini 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-M3GPT-5.5 (xhigh): 922k922kAIGPT-5.5 (xhigh)Nemotron 3 Ultra: 262k262kNNemotron 3 UltraMuse Spark: 262k262k?Muse SparkQwen3.6 27B: 262k262kQQwen3.6 27BMistral Small 3.1: 128k128kMiMistral Small 3.1

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.

00.51Claude Fable 5 (with fallback): 0.40.4AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashQwen3.6 27B: 00QQwen3.6 27BGLM-5.2 (max): 00?GLM-5.2 (max)Kimi K2.6: 00KKimi K2.6Nemotron 3 Ultra: 00NNemotron 3 UltraMiniMax-M3: 00?MiniMax-M3Grok 4.3 (high): 00xGrok 4.3 (high)DeepSeek V4 Pro (max): 00DDeepSeek V4 Pro (max)Mistral Small 3.2: 00MiMistral Small 3.2

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…GPT-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)DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)

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.

0200400600Claude Fable 5 (with fallback): 508508AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 114114GGemini 3.5 FlashQwen3.6 27B: 8888QQwen3.6 27BNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Kimi K2.6: 2525KKimi K2.6MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)DeepSeek V4 Pro (max): 7.27.2DDeepSeek V4 Pro (max)Mistral Small 3.2: 2.52.5MiMistral Small 3.2

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 Fable 5 (with fallback): 6161AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 3636AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 1111GGemini 3.5 FlashGLM-5.2 (max): 6.16.1?GLM-5.2 (max)Kimi K2.6: 5.15.1KKimi K2.6Qwen3.6 27B: 4.24.2QQwen3.6 27BGrok 4.3 (high): 44xGrok 4.3 (high)Nemotron 3 Ultra: 3.63.6NNemotron 3 UltraMiniMax-M3: 1.61.6?MiniMax-M3DeepSeek V4 Pro (max): 1.31.3DDeepSeek V4 Pro (max)Mistral Small (Sep): 0.80.8MiMistral Small (Sep)cache 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.

0510Kimi K2.6: 8.28.2KKimi K2.6DeepSeek V4 Pro (max): 6.86.8DDeepSeek V4 Pro (max)Claude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 3.93.9?MiniMax-M3GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)Qwen3.6 27B: 33QQwen3.6 27BGLM-5.2 (max): 2.82.8?GLM-5.2 (max)Ministral 3 8B: 2.52.5?Ministral 3 8BMinistral 3 14B: 2.22.2?Ministral 3 14BGemini 3.5 Flash: 2.22.2GGemini 3.5 FlashMistral Small 3.2: 0.90.9MiMistral Small 3.2

Architecture & Scale

Model size, parameters, and architectural details.

Model Size: Total and Active Parameters

Comparison between total model parameters and parameters active during inference · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

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

0250k500k750k1MDeepSeek V4 Pro (max): 1.6k1.6kDDeepSeek V4 Pro (max)Kimi K2.6: 1k1kKKimi K2.6GLM-5.2 (max): 753753?GLM-5.2 (max)Nemotron 3 Ultra: 550550NNemotron 3 UltraMiniMax-M3: 428428?MiniMax-M3gpt-oss-120b (high): 117117AIgpt-oss-120b (high)EXAONE 4.5 33B: 3434?EXAONE 4.5 33BGranite 4.1 30B: 3030?Granite 4.1 30BQwen3.6 27B: 2828QQwen3.6 27BGemma 3 27B: 2727?Gemma 3 27BMistral Small 3.1: 2424MiMistral Small 3.1passive Paramsactive Params

Specifications

Technical Specifications

Mistral Small (Sep '24) scores 5 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other open weight non-reasoning models of similar size (median: 6). Mistral Small (Sep '24) generates output at 162.5 tokens per second (based on Mistral's API), which is well above average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s). Mistral Small (Sep '24) costs $0.20 per 1M input tokens (somewhat higher than average, median: $0.15) and $0.60 per 1M output tokens (somewhat higher than average, median: $0.32), based on Mistral's API.

Mistral Small (Sep)

Model type
Open weights
Reasoning
No
Input modalities
Mistral Small (Sep '24) supports text only input.
Output modalities
Mistral Small (Sep '24) supports text only output.
Context window
33k tokens
Open weights / source
Yes, Mistral Small (Sep '24) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Parameters
Mistral Small (Sep '24) has 22 billion parameters.
License
Mistral Small (Sep '24) is released under the Mistral Research License license. Commercial use requires a separate license agreement.
API availability
Yes, Mistral Small (Sep '24) is available via API through 1 provider.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Mistral Small (Sep).

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

Frequently Asked Questions