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DeepSeek-V4.1-Flash-1017 vs MiniMax M1 80K

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 20.9. DeepSeek-V4.1-Flash-1017 is 1.8x cheaper per token.

DeepSeek · MiniMax · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to 20.9, 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, DeepSeek-V4.1-Flash-1017 is roughly 1.8x 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 51.2 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
  • cost matters — it's about 1.8x 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 MiniMax M1 80K

  • you want predictable pricing at $0.55/M input and $2.20/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
MiniMax M1 80K
MiniMax
Core performance indexes
LLM Stats Score
51.2
#15
20.9
#214
Reasoning
48.8
#18
21.1
#202
Coding
39.3
#14
9.1
#196
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
$0.55 / M
Output price
$1.20 / M
$2.20 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
MiniMax M1 80K
Math
31.8#69
19.4#178
Tool use
31.3#6
14.4#113
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 16 for MiniMax M1 80K

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M1 80K is better at 0 benchmarks.

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

Fri Oct 23 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 1.8x cheaper than MiniMax M1 80K ($0.55/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 1.8x cheaper than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, MiniMax M1 80K 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
Fri Oct 23 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Notice missing or incorrect data?

Model Size

Parameter count comparison

307.2B diff

DeepSeek-V4.1-Flash-1017 has 307.2B more parameters than MiniMax M1 80K, making it 67.4% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
456.0B
MiniMax M1 80K

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas MiniMax M1 80K does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

MiniMax M1 80K

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 M1 80K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while MiniMax M1 80K was released on 2025-06-16.

DeepSeek-V4.1-Flash-1017 is 16 months newer than MiniMax M1 80K.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.3yr newer
MiniMax M1 80K

Jun 16, 2025

1.3 years 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 M1 80K is available from Novita.

DeepSeek-V4.1-Flash-1017

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

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M
* 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 M1 80K side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
MiniMax M1 80K
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs MiniMax M1 80K.

Which is better, DeepSeek-V4.1-Flash-1017 or MiniMax M1 80K?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 20.9. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and MiniMax M1 80K 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 M1 80K 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 M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

Is DeepSeek-V4.1-Flash-1017 cheaper than MiniMax M1 80K?

DeepSeek-V4.1-Flash-1017 is 1.8x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and MiniMax M1 80K?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and MiniMax M1 80K 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 MiniMax M1 80K?

Key differences include LLM Stats Score (51.2 vs 20.9), context window (1.0M vs 1.0M), input pricing ($0.30 vs $0.55/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and MiniMax M1 80K?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and MiniMax M1 80K is developed by MiniMax.

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