Model Comparison

DeepSeek-V4-Pro-Max vs Mistral Medium 3.5Which is better in 2026?

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. DeepSeek-V4-Pro-Max is 1.5x cheaper per token.

Verdict: DeepSeek-V4-Pro-Max vs Mistral Medium 3.5 — which is better?

DeepSeek-V4-Pro-Max (by DeepSeek) and Mistral Medium 3.5 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V4-Pro-Max outperforms in 3 benchmarks (BrowseComp, GDPval-AA, SWE-Bench Verified), while Mistral Medium 3.5 is better at 0 benchmarks. DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

On price, DeepSeek-V4-Pro-Max is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Pro-Max also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V4-Pro-Max if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • cost matters — it's about 1.5x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose Mistral Medium 3.5 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V4-Pro-Max outperforms in 3 benchmarks (BrowseComp, GDPval-AA, SWE-Bench Verified), while Mistral Medium 3.5 is better at 0 benchmarks.

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Pro-Max costs less

For input processing, DeepSeek-V4-Pro-Max ($1.60/1M tokens) is 1.1x more expensive than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, DeepSeek-V4-Pro-Max ($3.20/1M tokens) is 2.3x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than DeepSeek-V4-Pro-Max.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-Max
Input tokens$1.60
Output tokens$3.20
Best providerNovita
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

1472.0B diff

DeepSeek-V4-Pro-Max has 1472.0B more parameters than Mistral Medium 3.5, making it 1150.0% larger.

DeepSeek
DeepSeek-V4-Pro-Max
1.6Tparameters
Mistral AI
Mistral Medium 3.5
128.0Bparameters
1600.0B
DeepSeek-V4-Pro-Max
128.0B
Mistral Medium 3.5

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while DeepSeek-V4-Pro-Max is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Medium 3.5 supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.

Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-Max

Text
Images
Audio
Video

Mistral Medium 3.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-Max is licensed under MIT, while Mistral Medium 3.5 uses Modified MIT License.

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

DeepSeek-V4-Pro-Max

MIT

Open weights

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-Max was released on 2026-04-23, while Mistral Medium 3.5 was released on 2026-04-29.

Mistral Medium 3.5 is 0 month newer than DeepSeek-V4-Pro-Max.

DeepSeek-V4-Pro-Max

Apr 23, 2026

2 months ago

Mistral Medium 3.5

Apr 29, 2026

2 months ago

6d 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-Pro-Max is available from Novita, DeepInfra, DeepSeek, Fireworks, Together. Mistral Medium 3.5 is available from Mistral AI.

DeepSeek-V4-Pro-Max

novita logo
Novita
Input Price:Input: $1.60/1MOutput Price:Output: $3.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
deepseek logo
DeepSeek
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
fireworks logo
Fireworks
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
together logo
Together
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Less expensive output tokens
Higher BrowseComp score (83.4% vs 48.6%)
Higher GDPval-AA score (44.4% vs 30.9%)
Higher SWE-Bench Verified score (80.6% vs 77.6%)
Mistral AI
Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-Max and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max
✓ Preferred
Mistral Medium 3.5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Pro-Max
Mistral AI
Mistral Medium 3.5

FAQ

Common questions about DeepSeek-V4-Pro-Max vs Mistral Medium 3.5.

Which is better, DeepSeek-V4-Pro-Max or Mistral Medium 3.5?

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. DeepSeek-V4-Pro-Max is made by DeepSeek and Mistral Medium 3.5 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Pro-Max compare to Mistral Medium 3.5 in benchmarks?

DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%. Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%.

Is DeepSeek-V4-Pro-Max cheaper than Mistral Medium 3.5?

Mistral Medium 3.5 is 1.1x cheaper for input tokens. DeepSeek-V4-Pro-Max costs $1.60/M input and $3.20/M output via novita. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

What are the context window sizes for DeepSeek-V4-Pro-Max and Mistral Medium 3.5?

DeepSeek-V4-Pro-Max supports 1.0M tokens and Mistral Medium 3.5 supports 256K 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-Pro-Max and Mistral Medium 3.5?

Key differences include context window (1.0M vs 256K), input pricing ($1.60 vs $1.50/M), multimodal support (no vs yes), licensing (MIT vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-Max and Mistral Medium 3.5?

DeepSeek-V4-Pro-Max is developed by DeepSeek and Mistral Medium 3.5 is developed by Mistral AI.

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