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Mistral Small 3.1 24B Base vs Qwen3-Coder 480B A35B Instruct

Qwen3-Coder 480B A35B Instruct leads the LLM Stats Score 21.1 to 0.3. Mistral Small 3.1 24B Base is 3.2x cheaper per token.

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

Which is better?

Qwen3-Coder 480B A35B Instruct leads the overall LLM Stats Score 21.1 to 0.3, ranking #188 overall.

On price, Mistral Small 3.1 24B Base is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-Coder 480B A35B Instruct 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 3.1 24B Base

  • cost matters — it's about 3.2x cheaper per token
  • you want the most recent training data — it shipped Mar 2025

Choose Qwen3-Coder 480B A35B Instruct

  • overall performance matters — it scores 21.1 and ranks #188 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 262,144 token context window

At a glance

The differences that matter most.

Mistral Small 3.1 24B Base
Mistral AI
Qwen3-Coder 480B A35B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
0.3
#324
21.1
#188
Reasoning
0.5
#315
21.1
#181
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.30 / M
Output price
$0.30 / M
$1.00 / M
Context window
128,000
262,144

Individual benchmarks

5 reported for Mistral Small 3.1 24B Base · 10 for Qwen3-Coder 480B A35B Instruct

No common benchmarks found

Mistral Small 3.1 24B Base and Qwen3-Coder 480B A35B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Mistral Small 3.1 24B Base ($0.10/1M tokens) is 3.0x cheaper than Qwen3-Coder 480B A35B Instruct ($0.30/1M tokens).

For output processing, Mistral Small 3.1 24B Base ($0.30/1M tokens) is 3.3x cheaper than Qwen3-Coder 480B A35B Instruct ($1.00/1M tokens).

In conclusion, Qwen3-Coder 480B A35B Instruct is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Mon Sep 14 2026 • llm-stats.com
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input tokens$0.30
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

456.0B diff

Qwen3-Coder 480B A35B Instruct has 456.0B more parameters than Mistral Small 3.1 24B Base, making it 1900.0% larger.

Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
480.0Bparameters
24.0B
Mistral Small 3.1 24B Base
480.0B
Qwen3-Coder 480B A35B Instruct

Context Window

Maximum input and output token capacity

Qwen3-Coder 480B A35B Instruct accepts 262,144 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Qwen3-Coder 480B A35B Instruct can generate longer responses up to 262,144 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input262,144 tokens
Output262,144 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Qwen3-Coder 480B A35B Instruct does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

Qwen3-Coder 480B A35B Instruct

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 3.1 24B Base

Apache 2.0

Open weights

Qwen3-Coder 480B A35B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3.1 24B Base was released on 2025-03-17, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.

Mistral Small 3.1 24B Base is 2 months newer than Qwen3-Coder 480B A35B Instruct.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.5 years ago

1mo newer
Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral Small 3.1 24B Base is available from Mistral AI. Qwen3-Coder 480B A35B Instruct is available from DeepInfra.

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Qwen3-Coder 480B A35B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.00/1M
* 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 3.1 24B Base and Qwen3-Coder 480B A35B Instruct side-by-side, then vote on the output you prefer.

Mistral Small 3.1 24B Base
✓ Preferred
Qwen3-Coder 480B A35B Instruct
Open in Playground

FAQ

Common questions about Mistral Small 3.1 24B Base vs Qwen3-Coder 480B A35B Instruct.

Which is better, Mistral Small 3.1 24B Base or Qwen3-Coder 480B A35B Instruct?

Qwen3-Coder 480B A35B Instruct leads the LLM Stats Score 21.1 to 0.3. Mistral Small 3.1 24B Base is made by Mistral AI and Qwen3-Coder 480B A35B Instruct 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 3.1 24B Base compare to Qwen3-Coder 480B A35B Instruct in benchmarks?

Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%. Qwen3-Coder 480B A35B Instruct scores TAU-bench Retail: 77.5%, SWE-Bench Verified: 69.6%, BFCL-v3: 68.7%, Aider-Polyglot: 61.8%, TAU-bench Airline: 60.0%.

Is Mistral Small 3.1 24B Base cheaper than Qwen3-Coder 480B A35B Instruct?

Mistral Small 3.1 24B Base is 3.0x cheaper for input tokens. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral. Qwen3-Coder 480B A35B Instruct costs $0.30/M input and $1.00/M output via deepinfra.

What are the context window sizes for Mistral Small 3.1 24B Base and Qwen3-Coder 480B A35B Instruct?

Mistral Small 3.1 24B Base supports 128K tokens and Qwen3-Coder 480B A35B Instruct 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 3.1 24B Base and Qwen3-Coder 480B A35B Instruct?

Key differences include LLM Stats Score (0.3 vs 21.1), context window (128K vs 262K), input pricing ($0.10 vs $0.30/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.1 24B Base and Qwen3-Coder 480B A35B Instruct?

Mistral Small 3.1 24B Base is developed by Mistral AI and Qwen3-Coder 480B A35B Instruct is developed by Alibaba Cloud / Qwen Team.

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