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DeepSeek-V4.1-Flash-1017 vs MiniMax M3

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 40.7. MiniMax M3 is 1.1x cheaper per token.

DeepSeek · MiniMax · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 40.7, ranking #15 overall.

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

On price, MiniMax M3 is roughly 1.1x 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 coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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 MiniMax M3

  • cost matters — it's about 1.1x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
MiniMax M3
MiniMax
Core performance indexes
LLM Stats Score
51.0
#15
40.7
#70
Reasoning
48.6
#18
40.9
#63
Coding
39.1
#15
30.4
#58
Agents
38.6
#9
25.4
#66
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
$0.28 / M
Output price
$1.20 / M
$1.10 / M
Context window
1,048,576
524,288

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash-1017
MiniMax M3
Math
31.8#67
25.0#124
Vision
32.2#26
25.7#59
Tool use
30.9#7
19.3#72
Multimodal
35.0#14
28.2#42
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 35 for MiniMax M3

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (NL2Repo), while MiniMax M3 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

MiniMax M3 costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 1.1x more expensive than MiniMax M3 ($0.28/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 1.1x more expensive than MiniMax M3 ($1.10/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than MiniMax M3.*

* 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
MiniMax
MiniMax M3
Input tokens$0.28
Output tokens$1.10
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

335.2B diff

DeepSeek-V4.1-Flash-1017 has 335.2B more parameters than MiniMax M3, making it 78.3% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
MiniMax
MiniMax M3
428.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
428.0B
MiniMax M3

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to MiniMax M3's 524,288 tokens. MiniMax M3 can generate longer responses up to 524,288 tokens, while DeepSeek-V4.1-Flash-1017 is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
MiniMax
MiniMax M3
Input524,288 tokens
Output524,288 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and MiniMax M3 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

MiniMax M3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

MiniMax M3

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while MiniMax M3 was released on 2026-06-01.

DeepSeek-V4.1-Flash-1017 is 5 months newer than MiniMax M3.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

4mo newer
MiniMax M3

Jun 1, 2026

4 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. MiniMax M3 is available from DeepInfra, Fireworks, MiniMax, Novita, Together.

DeepSeek-V4.1-Flash-1017

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

MiniMax M3

deepinfra logo
Deepinfra
Input Price:Input: $0.28/1MOutput Price:Output: $1.10/1M
fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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 MiniMax M3 side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
MiniMax M3
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs MiniMax M3.

Which is better, DeepSeek-V4.1-Flash-1017 or MiniMax M3?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 40.7. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and MiniMax M3 is made by MiniMax. 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 MiniMax M3 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%. MiniMax M3 scores OmniDocBench 1.5: 91.6%, SpreadSheetBench-v1: 89.3%, USAMO 2026: 85.7%, Video-MME: 85.4%, VideoMMMU: 84.6%.

Is DeepSeek-V4.1-Flash-1017 cheaper than MiniMax M3?

MiniMax M3 is 1.1x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. MiniMax M3 costs $0.28/M input and $1.10/M output via deepinfra.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and MiniMax M3?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and MiniMax M3 supports 524K 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 MiniMax M3?

Key differences include LLM Stats Score (51.0 vs 40.7), context window (1.0M vs 524K), input pricing ($0.30 vs $0.28/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and MiniMax M3?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and MiniMax M3 is developed by MiniMax.

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