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Mistral Large 4 vs Qwen3.7-Plus

Mistral Large 4 leads the LLM Stats Score 46.2 to 42.3. Qwen3.7-Plus is 1.8x cheaper per token.

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

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 42.3, ranking #34 overall.

In the 2 individual benchmarks reported for both models, Mistral Large 4 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3.7-Plus is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.7-Plus

  • cost matters — it's about 1.8x cheaper per token

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
46.2
#34
42.3
#59
Reasoning
44.0
#43
42.8
#52
Coding
35.8
#27
29.9
#57
Agents
34.3
#26
23.7
#64
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.68 / M
$0.32 / M
Output price
$2.09 / M
$1.28 / M
Context window
1,000,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Mistral Large 4
Qwen3.7-Plus
Vision
1.1#187
32.1#26
Tool use
27.1#26
22.3#49
Multimodal
1.7#160
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 70 for Qwen3.7-Plus

2 shared

Mistral Large 4 outperforms in 2 benchmarks (Finance Agent v2, SciCode), while Qwen3.7-Plus is better at 0 benchmarks.

Mistral Large 4 significantly outperforms across most benchmarks.

Mon Oct 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 2.1x more expensive than Qwen3.7-Plus ($0.32/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 1.6x more expensive than Qwen3.7-Plus ($1.28/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Qwen3.7-Plus.*

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

Lowest available price from all providers
Mon Oct 12 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. Only Qwen3.7-Plus specifies output context (65,536 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Qwen3.7-Plus support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Mistral Large 4

Proprietary

Closed source

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Qwen3.7-Plus was released on 2026-05-31.

Mistral Large 4 is 4 months newer than Qwen3.7-Plus.

Mistral Large 4

Oct 6, 2026

6 days ago

4mo newer
Qwen3.7-Plus

May 31, 2026

4 months 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 Large 4 is available from Mistral AI. Qwen3.7-Plus is available from Together, Fireworks.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Qwen3.7-Plus
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Qwen3.7-Plus.

Which is better, Mistral Large 4 or Qwen3.7-Plus?

Mistral Large 4 leads the LLM Stats Score 46.2 to 42.3. Mistral Large 4 is made by Mistral AI and Qwen3.7-Plus 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 Large 4 compare to Qwen3.7-Plus in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

Is Mistral Large 4 cheaper than Qwen3.7-Plus?

Qwen3.7-Plus is 2.1x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together.

What are the context window sizes for Mistral Large 4 and Qwen3.7-Plus?

Mistral Large 4 supports 1.0M tokens and Qwen3.7-Plus supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 4 and Qwen3.7-Plus?

Key differences include LLM Stats Score (46.2 vs 42.3), input pricing ($0.68 vs $0.32/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Qwen3.7-Plus?

Mistral Large 4 is developed by Mistral AI and Qwen3.7-Plus is developed by Alibaba Cloud / Qwen Team.

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