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DeepSeek-V4-Flash-0731 vs MiniMax M2

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 26.9. DeepSeek-V4-Flash-0731 is 5.8x cheaper per token.

DeepSeek · MiniMax · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to 26.9, ranking #35 overall.

On price, DeepSeek-V4-Flash-0731 is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-0731 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-Flash-0731

  • overall performance matters — it scores 44.7 and ranks #35 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 5.8x 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 Jul 2026

Choose MiniMax M2

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
MiniMax M2
MiniMax
Core performance indexes
LLM Stats Score
44.7
#35
26.9
#145
Reasoning
42.3
#45
26.5
#145
Coding
33.0
#36
18.0
#112
Agents
31.2
#30
9.5
#123
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$0.30 / M
Output price
$0.18 / M
$1.20 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-0731
MiniMax M2
Tool use
25.9#31
10.0#127
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 16 for MiniMax M2

No common benchmarks found

DeepSeek-V4-Flash-0731 and MiniMax M2don'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-Flash-0731 costs less

For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 5.0x cheaper than MiniMax M2 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 6.7x cheaper than MiniMax M2 ($1.20/1M tokens).

In conclusion, MiniMax M2 is more expensive than DeepSeek-V4-Flash-0731.*

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

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

74.0B diff

DeepSeek-V4-Flash-0731 has 74.0B more parameters than MiniMax M2, making it 32.2% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
MiniMax
MiniMax M2
230.0Bparameters
304.0B
DeepSeek-V4-Flash-0731
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to MiniMax M2's 1,000,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while MiniMax M2 is limited to 1,000,000 tokens.

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Thu Sep 10 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

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

DeepSeek-V4-Flash-0731

MIT

Open weights

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while MiniMax M2 was released on 2025-10-27.

DeepSeek-V4-Flash-0731 is 9 months newer than MiniMax M2.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

9mo newer
MiniMax M2

Oct 27, 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

Provider Availability

DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. MiniMax M2 is available from MiniMax, Novita.

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M

MiniMax M2

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and MiniMax M2 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
MiniMax M2
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs MiniMax M2.

Which is better, DeepSeek-V4-Flash-0731 or MiniMax M2?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 26.9. DeepSeek-V4-Flash-0731 is made by DeepSeek and MiniMax M2 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-Flash-0731 compare to MiniMax M2 in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is DeepSeek-V4-Flash-0731 cheaper than MiniMax M2?

DeepSeek-V4-Flash-0731 is 5.0x cheaper for input tokens. DeepSeek-V4-Flash-0731 costs $0.06/M input and $0.18/M output via deepinfra. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for DeepSeek-V4-Flash-0731 and MiniMax M2?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and MiniMax M2 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-Flash-0731 and MiniMax M2?

Key differences include LLM Stats Score (44.7 vs 26.9), context window (1.0M vs 1.0M), input pricing ($0.06 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and MiniMax M2?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and MiniMax M2 is developed by MiniMax.

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