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DeepSeek-V4-Pro-0813 vs Mistral Large 3 (675B Instruct 2512)

Comparing DeepSeek-V4-Pro-0813 and Mistral Large 3 (675B Instruct 2512) across benchmarks, pricing, and capabilities.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Mistral Large 3 (675B Instruct 2512) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, DeepSeek-V4-Pro-0813 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Pro-0813 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 benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Mistral Large 3 (675B Instruct 2512)

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Mistral Large 3 (675B Instruct 2512)
Mistral AI
Benchmark wins
—
—
Input price
$0.43 / M
$0.50 / M
Output price
$0.87 / M
$1.50 / M
Context window
1,048,576
262,100
Released
Aug 2026
Dec 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Mistral Large 3 (675B Instruct 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Pro-0813 costs less

For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.1x cheaper than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.7x cheaper than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Mistral Large 3 (675B Instruct 2512) is more expensive than DeepSeek-V4-Pro-0813.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-0813
Input tokens$0.43
Output tokens$0.87
Best providerDeepSeek
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

925.0B diff

DeepSeek-V4-Pro-0813 has 925.0B more parameters than Mistral Large 3 (675B Instruct 2512), making it 137.0% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
675.0B
Mistral Large 3 (675B Instruct 2512)

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Mistral Large 3 (675B Instruct 2512) is limited to 262,100 tokens.

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512) supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

Mistral Large 3 (675B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Mistral Large 3 (675B Instruct 2512) uses Apache 2.0.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

Mistral Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.

DeepSeek-V4-Pro-0813 is 8 months newer than Mistral Large 3 (675B Instruct 2512).

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

8mo newer
Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

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

DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

DeepSeek-V4-Pro-0813

deepseek logo
DeepSeek
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.30/1MOutput Price:Output: $2.60/1M
novita logo
Novita
Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M
together logo
Together
Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Mistral Large 3 (675B Instruct 2512).

Which is better, DeepSeek-V4-Pro-0813 or Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V4-Pro-0813 (DeepSeek) and Mistral Large 3 (675B Instruct 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to Mistral Large 3 (675B Instruct 2512) in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is DeepSeek-V4-Pro-0813 cheaper than Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V4-Pro-0813 is 1.1x cheaper for input tokens. DeepSeek-V4-Pro-0813 costs $0.43/M input and $0.87/M output via deepseek. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512) supports 262K 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-0813 and Mistral Large 3 (675B Instruct 2512)?

Key differences include context window (1.0M vs 262K), input pricing ($0.43 vs $0.50/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.

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