Model Comparison

Mistral Small vs Qwen3-Next-80B-A3B-Thinking

Comparing Mistral Small and Qwen3-Next-80B-A3B-Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Small and Qwen3-Next-80B-A3B-Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small costs less

For input processing, Mistral Small ($0.20/1M tokens) is 1.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Mistral Small ($0.60/1M tokens) is 2.5x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Qwen3-Next-80B-A3B-Thinking is more expensive than Mistral Small.*

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

Lowest available price from all providers

Fri May 15 2026 • llm-stats.com

Mistral Small

Input tokens$0.20

Output tokens$0.60

Best providerMistral

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

58.0B diff

Qwen3-Next-80B-A3B-Thinking has 58.0B more parameters than Mistral Small, making it 263.6% larger.

Mistral Small

22.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

22.0B

Mistral Small

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Qwen3-Next-80B-A3B-Thinking accepts 65,536 input tokens compared to Mistral Small's 32,768 tokens. Qwen3-Next-80B-A3B-Thinking can generate longer responses up to 65,536 tokens, while Mistral Small is limited to 32,768 tokens.

Mistral Small

Input32,768 tokens

Output32,768 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

Mistral Small is licensed under Mistral Research License, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Small

Mistral Research License

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small was released on 2024-09-17, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 12 months newer than Mistral Small.

Mistral Small

Sep 17, 2024

1.7 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

11mo newer

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 is available from Mistral AI. Qwen3-Next-80B-A3B-Thinking is available from Novita.

Mistral Small

Mistral

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral Small

View details

Mistral AI

Less expensive output tokens

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (65,536 tokens)

Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature	Mistral Small	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Mistral Small vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Mistral Small or Qwen3-Next-80B-A3B-Thinking?

Mistral Small (Mistral AI) and Qwen3-Next-80B-A3B-Thinking (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral Small compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is Mistral Small cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 1.3x cheaper for input tokens. Mistral Small costs $0.20/M input and $0.60/M output via mistral. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for Mistral Small and Qwen3-Next-80B-A3B-Thinking?

Mistral Small supports 33K tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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 and Qwen3-Next-80B-A3B-Thinking?

Key differences include context window (33K vs 66K), input pricing ($0.20 vs $0.15/M), licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small and Qwen3-Next-80B-A3B-Thinking?

Mistral Small is developed by Mistral AI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.