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DeepSeek-V4-Flash-Max vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 38.9. DeepSeek-V4-Flash-Max is 9.2x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 38.9, ranking #34 overall.

On price, DeepSeek-V4-Flash-Max is roughly 9.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-Max also accepts a larger context window (1,048,576 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 DeepSeek-V4-Flash-Max

  • cost matters — it's about 9.2x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

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 want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Max
DeepSeek
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
38.9
#70
46.2
#34
Reasoning
39.6
#67
44.0
#43
Coding
28.3
#68
35.8
#27
Agents
17.9
#83
34.3
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.09 / M
$0.68 / M
Output price
$0.18 / M
$2.09 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Max
Mistral Large 4
Tool use
16.6#86
27.1#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for DeepSeek-V4-Flash-Max · 18 for Mistral Large 4

No common benchmarks found

DeepSeek-V4-Flash-Max and Mistral Large 4don'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

DeepSeek-V4-Flash-Max costs less

For input processing, DeepSeek-V4-Flash-Max ($0.09/1M tokens) is 7.6x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, DeepSeek-V4-Flash-Max ($0.18/1M tokens) is 11.6x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than DeepSeek-V4-Flash-Max.*

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

Lowest available price from all providers
Mon Oct 12 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-Max
Input tokens$0.09
Output tokens$0.18
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

766.0B diff

Mistral Large 4 has 766.0B more parameters than DeepSeek-V4-Flash-Max, making it 269.7% larger.

DeepSeek
DeepSeek-V4-Flash-Max
284.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
284.0B
DeepSeek-V4-Flash-Max
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only DeepSeek-V4-Flash-Max specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output1,048,576 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.

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

DeepSeek-V4-Flash-Max

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-Max is licensed under MIT, while Mistral Large 4 uses a proprietary license.

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

DeepSeek-V4-Flash-Max

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Max was released on 2026-04-23, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 6 months newer than DeepSeek-V4-Flash-Max.

DeepSeek-V4-Flash-Max

Apr 23, 2026

5 months ago

Mistral Large 4

Oct 6, 2026

5 days ago

5mo 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

DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek. Mistral Large 4 is available from Mistral AI.

DeepSeek-V4-Flash-Max

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.18/1M
deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Max and Mistral Large 4 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Max
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Max vs Mistral Large 4.

Which is better, DeepSeek-V4-Flash-Max or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 38.9. DeepSeek-V4-Flash-Max is made by DeepSeek and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-Max compare to Mistral Large 4 in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is DeepSeek-V4-Flash-Max cheaper than Mistral Large 4?

DeepSeek-V4-Flash-Max is 7.6x cheaper for input tokens. DeepSeek-V4-Flash-Max costs $0.09/M input and $0.18/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for DeepSeek-V4-Flash-Max and Mistral Large 4?

DeepSeek-V4-Flash-Max supports 1.0M tokens and Mistral Large 4 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 DeepSeek-V4-Flash-Max and Mistral Large 4?

Key differences include LLM Stats Score (38.9 vs 46.2), context window (1.0M vs 1.0M), input pricing ($0.09 vs $0.68/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Max and Mistral Large 4?

DeepSeek-V4-Flash-Max is developed by DeepSeek and Mistral Large 4 is developed by Mistral AI.

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