The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-0731 vs Mistral Large 3 (675B Base)

Comparing DeepSeek-V4-Flash-0731 and Mistral Large 3 (675B Base) across benchmarks, pricing, and capabilities.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 and Mistral Large 3 (675B Base) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-0731

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

Choose Mistral Large 3 (675B Base)

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
Mistral Large 3 (675B Base)
Mistral AI
Benchmark wins
—
—
Input price
$0.09 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—
Released
Jul 2026
Dec 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-0731 and Mistral Large 3 (675B Base)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

Model Size

Parameter count comparison

371.0B diff

Mistral Large 3 (675B Base) has 371.0B more parameters than DeepSeek-V4-Flash-0731, making it 122.0% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Mistral AI
Mistral Large 3 (675B Base)
675.0Bparameters
304.0B
DeepSeek-V4-Flash-0731
675.0B
Mistral Large 3 (675B Base)

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3 (675B Base)
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Base) supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

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

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

Mistral Large 3 (675B Base)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Mistral Large 3 (675B Base) uses Apache 2.0.

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

DeepSeek-V4-Flash-0731

MIT

Open weights

Mistral Large 3 (675B Base)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Mistral Large 3 (675B Base) was released on 2025-12-04.

DeepSeek-V4-Flash-0731 is 8 months newer than Mistral Large 3 (675B Base).

DeepSeek-V4-Flash-0731

Jul 31, 2026

3 weeks ago

7mo newer
Mistral Large 3 (675B Base)

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Mistral Large 3 (675B Base) side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Mistral Large 3 (675B Base)
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Mistral Large 3 (675B Base).

Which is better, DeepSeek-V4-Flash-0731 or Mistral Large 3 (675B Base)?

DeepSeek-V4-Flash-0731 (DeepSeek) and Mistral Large 3 (675B Base) (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-Flash-0731 compare to Mistral Large 3 (675B Base) in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. Mistral Large 3 (675B Base) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Mistral Large 3 (675B Base)?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Mistral Large 3 (675B Base) 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 DeepSeek-V4-Flash-0731 and Mistral Large 3 (675B Base)?

Key differences include 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-Flash-0731 and Mistral Large 3 (675B Base)?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Mistral Large 3 (675B Base) is developed by Mistral AI.

Related comparisons