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Mistral Large 4 vs Step-3.5-Flash

Mistral Large 4 leads the LLM Stats Score 46.2 to 37.1. Step-3.5-Flash is 5.9x cheaper per token.

Mistral AI · StepFun · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 37.1, ranking #34 overall.

On price, Step-3.5-Flash is roughly 5.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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 Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Step-3.5-Flash

  • cost matters — it's about 5.9x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Step-3.5-Flash
StepFun
Core performance indexes
LLM Stats Score
46.2
#34
37.1
#82
Reasoning
44.0
#43
37.1
#81
Coding
35.8
#27
20.2
#109
Agents
34.3
#26
15.2
#98
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
$0.10 / M
Output price
$2.09 / M
$0.40 / M
Context window
1,000,000
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 4
Step-3.5-Flash
Tool use
27.1#26
13.3#108
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 7 for Step-3.5-Flash

No common benchmarks found

Mistral Large 4 and Step-3.5-Flashdon'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

Step-3.5-Flash costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 6.8x more expensive than Step-3.5-Flash ($0.10/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 5.2x more expensive than Step-3.5-Flash ($0.40/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Step-3.5-Flash.*

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

Lowest available price from all providers
Fri Oct 09 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
StepFun
Step-3.5-Flash
Input tokens$0.10
Output tokens$0.40
Best providerStepFun
Notice missing or incorrect data?

Model Size

Parameter count comparison

854.0B diff

Mistral Large 4 has 854.0B more parameters than Step-3.5-Flash, making it 435.7% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
StepFun
Step-3.5-Flash
196.0Bparameters
1050.0B
Mistral Large 4
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Step-3.5-Flash's 65,536 tokens. Only Step-3.5-Flash specifies output context (8,192 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Step-3.5-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

Step-3.5-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Step-3.5-Flash uses Apache 2.0.

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

Mistral Large 4

Proprietary

Closed source

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Step-3.5-Flash was released on 2026-02-02.

Mistral Large 4 is 8 months newer than Step-3.5-Flash.

Mistral Large 4

Oct 6, 2026

2 days ago

8mo newer
Step-3.5-Flash

Feb 2, 2026

8 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. Step-3.5-Flash is available from StepFun.

Mistral Large 4

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

Step-3.5-Flash

stepfun logo
StepFun
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* 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 Step-3.5-Flash side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Step-3.5-Flash
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Step-3.5-Flash.

Which is better, Mistral Large 4 or Step-3.5-Flash?

Mistral Large 4 leads the LLM Stats Score 46.2 to 37.1. Mistral Large 4 is made by Mistral AI and Step-3.5-Flash is made by StepFun. 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 Step-3.5-Flash in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Step-3.5-Flash scores AIME 2025: 97.3%, Tau-bench: 88.2%, LiveCodeBench v6: 86.4%, IMO-AnswerBench: 85.4%, SWE-Bench Verified: 74.4%.

Is Mistral Large 4 cheaper than Step-3.5-Flash?

Step-3.5-Flash is 6.8x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Step-3.5-Flash costs $0.10/M input and $0.40/M output via stepfun.

What are the context window sizes for Mistral Large 4 and Step-3.5-Flash?

Mistral Large 4 supports 1.0M tokens and Step-3.5-Flash 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 Large 4 and Step-3.5-Flash?

Key differences include LLM Stats Score (46.2 vs 37.1), context window (1.0M vs 66K), input pricing ($0.68 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Step-3.5-Flash?

Mistral Large 4 is developed by Mistral AI and Step-3.5-Flash is developed by StepFun.

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