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Mistral Large 4 vs SWE-2 Flash

Mistral Large 4 and SWE-2 Flash are closely matched at 46.0 and 43.8 on the LLM Stats Score.

Mistral AI · Cognition · Updated for 2026

Which is better?

Mistral Large 4 and SWE-2 Flash are closely matched on the overall LLM Stats Score at 46.0 and 43.8.

In the 4 individual benchmarks reported for both models, Mistral Large 4 wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose Mistral Large 4

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you need open weights you can self-host or fine-tune

Choose SWE-2 Flash

  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Core performance indexes
46.0
#46
43.8
#59
44.5
#51
42.6
#61
34.8
#37
33.0
#44
33.1
#35
30.1
#50
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$0.70 / M
— / M
Output price
$2.10 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 4
SWE-2 Flash
30.3#15
23.0#58
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for Mistral Large 4 · 7 for SWE-2 Flash

4 shared

Mistral Large 4 outperforms in 3 benchmarks (DeepSWE 1.1, SWE Atlas - Codebase QnA, Terminal-Bench 4.0), while SWE-2 Flash is better at 1 benchmark (FrontierCode 2.0).

Mistral Large 4 shows notably better performance in the majority of benchmarks.

Thu Nov 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

774.0B diff

Mistral Large 4 has 774.0B more parameters than SWE-2 Flash, making it 280.4% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Cognition
SWE-2 Flash
276.0Bparameters
1050.0B
Mistral Large 4
276.0B
SWE-2 Flash

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Cognition
SWE-2 Flash
Input- tokens
Output- tokens
Thu Nov 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas SWE-2 Flash does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

SWE-2 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under Modified MIT License, while SWE-2 Flash uses a proprietary license.

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

Mistral Large 4

Modified MIT License

Open weights

SWE-2 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while SWE-2 Flash was released on 2026-11-04.

SWE-2 Flash is 1 month newer than Mistral Large 4.

Mistral Large 4

Oct 6, 2026

1 months ago

SWE-2 Flash

Nov 4, 2026

1 weeks ago

4w 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and SWE-2 Flash side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
SWE-2 Flash
Open in Playground

FAQ

Common questions about Mistral Large 4 vs SWE-2 Flash.

Which is better, Mistral Large 4 or SWE-2 Flash?

Mistral Large 4 and SWE-2 Flash are closely matched on the LLM Stats Score at 46.0 and 43.8. Mistral Large 4 is made by Mistral AI and SWE-2 Flash is made by Cognition. 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 SWE-2 Flash in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 97.1%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, BrowseComp: 84.5%. SWE-2 Flash scores Terminal-Bench 2.1: 89.2%, DeepSWE 1.1: 60.1%, SWE Atlas - Codebase QnA: 50.0%, FrontierCode 1.1: 45.5%, ExploitBench: 34.8%.

What are the context window sizes for Mistral Large 4 and SWE-2 Flash?

Mistral Large 4 supports 1.0M tokens and SWE-2 Flash supports an unknown number of 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 SWE-2 Flash?

Key differences include LLM Stats Score (46.0 vs 43.8), multimodal support (yes vs no), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and SWE-2 Flash?

Mistral Large 4 is developed by Mistral AI and SWE-2 Flash is developed by Cognition.