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DeepSeek-V4.1-Flash-1017 vs Mistral Large 4

DeepSeek-V4.1-Flash-1017 and Mistral Large 4 are closely matched at 51.0 and 45.6 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 2.0x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and Mistral Large 4 are closely matched on the overall LLM Stats Score at 51.0 and 45.6.

In the 3 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash-1017 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 2.0x 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 Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • you want predictable pricing at $0.68/M input and $2.09/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
51.0
#15
45.6
#40
Reasoning
48.6
#18
43.8
#47
Coding
39.1
#15
34.6
#33
Agents
38.6
#9
33.6
#34
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.30 / M
$0.68 / M
Output price
$1.20 / M
$2.09 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
Mistral Large 4
Vision
32.2#26
1.4#193
Tool use
30.9#7
27.5#24
Multimodal
35.0#14
2.0#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 18 for Mistral Large 4

3 shared

DeepSeek-V4.1-Flash-1017 outperforms in 3 benchmarks (AutomationBench, DeepSWE 1.1, Terminal-Bench 4.0), while Mistral Large 4 is better at 0 benchmarks.

DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash-1017 costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 2.3x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 1.7x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than DeepSeek-V4.1-Flash-1017.*

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

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
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

286.8B diff

Mistral Large 4 has 286.8B more parameters than DeepSeek-V4.1-Flash-1017, making it 37.6% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
763.2B
DeepSeek-V4.1-Flash-1017
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 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 4
Input1,000,000 tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Mistral Large 4 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 4

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Mistral Large 4 was released on 2026-10-06.

DeepSeek-V4.1-Flash-1017 is 0 month newer than Mistral Large 4.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1w newer
Mistral Large 4

Oct 6, 2026

1 weeks 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-V4.1-Flash-1017 is available from DeepSeek. Mistral Large 4 is available from Mistral AI.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

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-V4.1-Flash-1017 and Mistral Large 4 side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Mistral Large 4.

Which is better, DeepSeek-V4.1-Flash-1017 or Mistral Large 4?

DeepSeek-V4.1-Flash-1017 and Mistral Large 4 are closely matched on the LLM Stats Score at 51.0 and 45.6. DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 compare to Mistral Large 4 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 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Mistral Large 4?

DeepSeek-V4.1-Flash-1017 is 2.3x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Mistral Large 4?

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 and Mistral Large 4?

Key differences include LLM Stats Score (51.0 vs 45.6), context window (1.0M vs 1.0M), input pricing ($0.30 vs $0.68/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Mistral Large 4?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Mistral Large 4 is developed by Mistral AI.

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