Mistral Small 4 (Non-reasoning)

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Mistral
2026-03-16
Modality:
Intelligence
18.6
#277/523
Coding
16.4
#245/429
Math
Speed
157 tok/s
TTFT: 0.41s
Pricing
$0.15 / $0.60
per 1M tokens (in/out)
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Mistral Small 4 (Non-reasoning) is Mistral’s model designed for efficient processing of text data. It operates at a speed of 156.729 tokens per second and is priced at $0.15 per million input tokens, targeting professional users.

When to Use Mistral Small 4 (Non-reasoning)

✓ Best For

  • Text processing tasks
  • Data analysis
  • Basic coding assistance

✗ Not Ideal For

  • Complex reasoning tasks
  • High-level mathematical computations

How Mistral Small 4 (Non-reasoning) Compares

Intelligence Index · Higher is better

AnthropicMistralNous ResearchTrillion Labs

Benchmark Profile

Coding Index

LongCatAlibabaMistralDeepSeekMBZUAI Institute of Foundation Models

Output Speed · tok/s

OpenAIMistral

Intelligence · Coding · Math

Intelligence Coding Math

All Benchmark Scores (9)

BenchmarkScore
Intelligence Index 18.6
Coding Index 16.4
GPQA 571%
HLE 37%
SciCode 28.1%
IFBench 32.8%
LCR 21.3%
TerminalBench Hard 10.6%
Tau2 18.4%

Data: Artificial Analysis · Updated: April 9, 2026

Frequently Asked Questions (15)

When was Mistral Small 4 (Non-reasoning) released?
Mistral Small 4 (Non-reasoning) was released on March 16, 2026.
Who created Mistral Small 4 (Non-reasoning)?
Mistral Small 4 (Non-reasoning) was created by Mistral.
How intelligent is Mistral Small 4 (Non-reasoning)?
Mistral Small 4 (Non-reasoning) scores 19 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 13).
How fast is Mistral Small 4 (Non-reasoning)?
Mistral Small 4 (Non-reasoning) generates output at 120.3 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: 59.9 t/s).
What is the latency of Mistral Small 4 (Non-reasoning)?
Mistral Small 4 (Non-reasoning) has a time to first token (TTFT) of 1.34s (based on Mistral's API), which is very competitive compared to other open weight non-reasoning models of similar size (median: 1.90s).
How much does Mistral Small 4 (Non-reasoning) cost?
Mistral Small 4 (Non-reasoning) costs $0.15 per 1M input tokens (very competitive, median: $0.54) and $0.60 per 1M output tokens (better than average, median: $0.90), based on Mistral's API.
What is Mistral Small 4 (Non-reasoning) API pricing?
Mistral Small 4 (Non-reasoning) costs $0.15 per 1M input tokens and $0.60 per 1M output tokens (based on Mistral's API). For a blended rate (3:1 input to output ratio), this is $0.26 per 1M tokens. Pricing may vary by provider.
How verbose is Mistral Small 4 (Non-reasoning)?
When evaluated on the Intelligence Index, Mistral Small 4 (Non-reasoning) generated 3.9M output tokens, which is better than average compared to other open weight non-reasoning models of similar size (median: 6.4M).
Is Mistral Small 4 (Non-reasoning) a reasoning model?
No, Mistral Small 4 (Non-reasoning) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
What input modalities does Mistral Small 4 (Non-reasoning) support?
Mistral Small 4 (Non-reasoning) supports text and image input.
What output modalities does Mistral Small 4 (Non-reasoning) support?
Mistral Small 4 (Non-reasoning) supports text output.
Can Mistral Small 4 (Non-reasoning) process images?
Yes, Mistral Small 4 (Non-reasoning) supports image input and can analyze, describe, and answer questions about images.
Is Mistral Small 4 (Non-reasoning) multimodal?
Yes, Mistral Small 4 (Non-reasoning) is multimodal. It can process text and image input and generate text output.
What is the context window of Mistral Small 4 (Non-reasoning)?
Mistral Small 4 (Non-reasoning) has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Is Mistral Small 4 (Non-reasoning) open source?
Yes, Mistral Small 4 (Non-reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.