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Mistral Small 3.2 24B Instruct vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 8.4. Mistral Small 3.2 24B Instruct is 11.4x cheaper per token.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 235B A22B Thinking leads the overall LLM Stats Score 26.7 to 8.4, ranking #148 overall.

In the 4 individual benchmarks reported for both models, Qwen3 VL 235B A22B Thinking wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Small 3.2 24B Instruct is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 235B A22B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Small 3.2 24B Instruct

  • cost matters — it's about 11.4x cheaper per token

Choose Qwen3 VL 235B A22B Thinking

  • overall performance matters — it scores 26.7 and ranks #148 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
8.4
#278
26.7
#148
7.9
#279
26.9
#142
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.07 / M
$0.45 / M
Output price
$0.20 / M
$3.49 / M
Context window
128,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
Mistral Small 3.2 24B Instruct
Qwen3 VL 235B A22B Thinking
11.1#245
29.6#82
10.1#122
18.0#79
13.2#101
20.1#68
9.3#152
31.9#17
9.3#133
31.7#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Mistral Small 3.2 24B Instruct · 67 for Qwen3 VL 235B A22B Thinking

4 shared

Mistral Small 3.2 24B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 235B A22B Thinking is better at 3 benchmarks (MMLU, MMLU-Pro, SimpleQA).

Qwen3 VL 235B A22B Thinking shows notably better performance in the majority of benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.2 24B Instruct costs less

For input processing, Mistral Small 3.2 24B Instruct ($0.07/1M tokens) is 6.0x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, Mistral Small 3.2 24B Instruct ($0.20/1M tokens) is 17.4x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

In conclusion, Qwen3 VL 235B A22B Thinking is more expensive than Mistral Small 3.2 24B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.07
Output tokens$0.20
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input tokens$0.45
Output tokens$3.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

212.4B diff

Qwen3 VL 235B A22B Thinking has 212.4B more parameters than Mistral Small 3.2 24B Instruct, making it 900.0% larger.

Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
23.6B
Mistral Small 3.2 24B Instruct
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Thinking accepts 262,144 input tokens compared to Mistral Small 3.2 24B Instruct's 128,000 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Mistral Small 3.2 24B Instruct is limited to 128,000 tokens.

Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.2 24B Instruct and Qwen3 VL 235B A22B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 3 months newer than Mistral Small 3.2 24B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

12 months ago

3mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen3 VL 235B A22B Thinking's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen3 VL 235B A22B Thinking's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Qwen3 VL 235B A22B Thinking

Provider Availability

Mistral Small 3.2 24B Instruct is available from DeepInfra. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.

Mistral Small 3.2 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.20/1M

Qwen3 VL 235B A22B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M
novita logo
Novita
Input Price:Input: $0.98/1MOutput Price:Output: $3.95/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Mistral Small 3.2 24B Instruct and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

Mistral Small 3.2 24B Instruct
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Qwen3 VL 235B A22B Thinking.

Which is better, Mistral Small 3.2 24B Instruct or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 8.4. Mistral Small 3.2 24B Instruct is made by Mistral AI and Qwen3 VL 235B A22B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Small 3.2 24B Instruct compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

Is Mistral Small 3.2 24B Instruct cheaper than Qwen3 VL 235B A22B Thinking?

Mistral Small 3.2 24B Instruct is 6.0x cheaper for input tokens. Mistral Small 3.2 24B Instruct costs $0.07/M input and $0.20/M output via deepinfra. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output via deepinfra.

What are the context window sizes for Mistral Small 3.2 24B Instruct and Qwen3 VL 235B A22B Thinking?

Mistral Small 3.2 24B Instruct supports 128K tokens and Qwen3 VL 235B A22B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 3.2 24B Instruct and Qwen3 VL 235B A22B Thinking?

Key differences include LLM Stats Score (8.4 vs 26.7), context window (128K vs 262K), input pricing ($0.07 vs $0.45/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.2 24B Instruct and Qwen3 VL 235B A22B Thinking?

Mistral Small 3.2 24B Instruct is developed by Mistral AI and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.