The AI arena is free today

Open Superagent

DeepSeek-V4.1-Flash-1017 vs Mistral Medium 3.5

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 26.6. DeepSeek-V4.1-Flash-1017 is 5.7x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 26.6, ranking #15 overall.

On price, DeepSeek-V4.1-Flash-1017 is roughly 5.7x 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

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 5.7x 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

Choose Mistral Medium 3.5

  • you want predictable pricing at $1.50/M input and $7.50/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Mistral Medium 3.5
Mistral AI
Core performance indexes
LLM Stats Score
51.0
#15
26.6
#169
Reasoning
48.6
#18
27.1
#160
Coding
39.1
#15
23.8
#91
Agents
38.6
#9
8.6
#151
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$1.50 / M
Output price
$1.20 / M
$7.50 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
Mistral Medium 3.5
Math
31.8#67
18.9#184
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 11 for Mistral Medium 3.5

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Mistral Medium 3.5don'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

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 5.0x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 6.3x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).

In conclusion, Mistral Medium 3.5 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
Tue Oct 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

635.2B diff

DeepSeek-V4.1-Flash-1017 has 635.2B more parameters than Mistral Medium 3.5, making it 496.3% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Mistral AI
Mistral Medium 3.5
128.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
128.0B
Mistral Medium 3.5

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Mistral Medium 3.5's 256,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Mistral Medium 3.5 is limited to 256,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Mistral Medium 3.5 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 Medium 3.5

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT

Open weights

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Mistral Medium 3.5 was released on 2026-04-29.

DeepSeek-V4.1-Flash-1017 is 6 months newer than Mistral Medium 3.5.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

5mo newer
Mistral Medium 3.5

Apr 29, 2026

5 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-V4.1-Flash-1017 is available from DeepSeek. Mistral Medium 3.5 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 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?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Mistral Medium 3.5
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Mistral Medium 3.5.

Which is better, DeepSeek-V4.1-Flash-1017 or Mistral Medium 3.5?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 26.6. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Mistral Medium 3.5 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 Medium 3.5 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 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-V4.1-Flash-1017 cheaper than Mistral Medium 3.5?

DeepSeek-V4.1-Flash-1017 is 5.0x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Mistral Medium 3.5?

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 and Mistral Medium 3.5?

Key differences include LLM Stats Score (51.0 vs 26.6), context window (1.0M vs 256K), input pricing ($0.30 vs $1.50/M), licensing (MIT vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Mistral Medium 3.5?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Mistral Medium 3.5 is developed by Mistral AI.

Related comparisons