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DeepSeek-V4.1-Flash-1017 vs Mistral Large 3 (675B Instruct 2512 Eagle)

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 50.7 to 8.2.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 50.7 to 8.2, ranking #17 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 50.7 and ranks #17 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

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Core performance indexes
LLM Stats Score
50.7
#17
8.2
#312
Reasoning
48.0
#22
8.4
#304
Coding
40.0
#15
1.1
#267
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
Mistral Large 3 (675B Instruct 2512 Eagle)
Math
31.8#70
18.7#195
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Mistral Large 3 (675B Instruct 2512 Eagle)don'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

Model Size

Parameter count comparison

88.2B diff

DeepSeek-V4.1-Flash-1017 has 88.2B more parameters than Mistral Large 3 (675B Instruct 2512 Eagle), making it 13.1% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Mistral Large 3 (675B Instruct 2512 Eagle) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Mistral Large 3 (675B Instruct 2512 Eagle) uses Apache 2.0.

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

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

DeepSeek-V4.1-Flash-1017 is 11 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

1 weeks ago

10mo newer
Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

10 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?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, DeepSeek-V4.1-Flash-1017 or Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 50.7 to 8.2. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Mistral Large 3 (675B Instruct 2512 Eagle) 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-V4.1-Flash-1017 compare to Mistral Large 3 (675B Instruct 2512 Eagle) in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Mistral Large 3 (675B Instruct 2512 Eagle) 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-V4.1-Flash-1017 and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 Eagle) 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-V4.1-Flash-1017 and Mistral Large 3 (675B Instruct 2512 Eagle)?

Key differences include LLM Stats Score (50.7 vs 8.2), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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