DeepSeek-V4-Pro-Max vs MiniMax M2.7

DeepSeek-V4-Pro-Max leads the LLM Stats Score 43.0 to 35.3. MiniMax M2.7 is 3.1x cheaper per token.

DeepSeek · MiniMax · Updated for 2026

Which is better?

DeepSeek-V4-Pro-Max leads the overall LLM Stats Score 43.0 to 35.3, ranking #49 overall.

The models split the 4 individual benchmarks reported for both models evenly.

On price, MiniMax M2.7 is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Pro-Max 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-Pro-Max

overall performance matters — it scores 43.0 and ranks #49 on LLM Stats
your work emphasizes reasoning — it leads those capability indexes
you process long inputs — it offers a 1,048,576 token context window
you want the most recent training data — it shipped Apr 2026

Choose MiniMax M2.7

cost matters — it's about 3.1x cheaper per token

At a glance

The differences that matter most.

Better token value: MiniMax M2.7

Core performance indexes

LLM Stats Score

43.0

#49 · 22 evals

Best

35.3

#94 · 8 evals

Reasoning

43.1

#44 · 20 evals

Best

34.7

#92 · 6 evals

Coding

31.7

#46 · 8 evals

Best

27.6

#68 · 5 evals

Agents

23.6

#64 · 7 evals

Best

15.6

#89 · 5 evals

Cost, coverage & limits

Benchmark wins

2 of 4

Input price

$1.30 / M

$0.30 / M

Best

Output price

$2.60 / M

$1.20 / M

Best

Context window

1,048,576

Best

196,608

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

DeepSeek-V4-Pro-Max

MiniMax M2.7

Tool use

21.9#48 · 3 evals

15.1#96 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for DeepSeek-V4-Pro-Max · 11 for MiniMax M2.7

4 shared

DeepSeek-V4-Pro-Max outperforms in 2 benchmarks (Terminal-Bench 2.0, Toolathlon), while MiniMax M2.7 is better at 2 benchmarks (SWE-bench Multilingual, SWE-Bench Pro).

Both models are evenly matched across the benchmarks.

Mon Oct 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, DeepSeek-V4-Pro-Max ($1.30/1M tokens) is 4.3x more expensive than MiniMax M2.7 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Pro-Max ($2.60/1M tokens) is 2.2x more expensive than MiniMax M2.7 ($1.20/1M tokens).

In conclusion, DeepSeek-V4-Pro-Max is more expensive than MiniMax M2.7.*

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

Lowest available price from all providers

Mon Oct 05 2026 • llm-stats.com

DeepSeek-V4-Pro-Max

Input tokens$1.30

Output tokens$2.60

Best providerDeepinfra

MiniMax M2.7

Input tokens$0.30

Output tokens$1.20

Best providerFireworks

Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to MiniMax M2.7's 196,608 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 1,048,576 tokens, while MiniMax M2.7 is limited to 196,608 tokens.

DeepSeek-V4-Pro-Max

Input1,048,576 tokens

Output1,048,576 tokens

MiniMax M2.7

Input196,608 tokens

Output196,608 tokens

Mon Oct 05 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-Pro-Max

MIT

Open weights

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-Max was released on 2026-04-23, while MiniMax M2.7 was released on 2026-03-18.

DeepSeek-V4-Pro-Max is 1 month newer than MiniMax M2.7.

DeepSeek-V4-Pro-Max

Apr 23, 2026

5 months ago

1mo newer

MiniMax M2.7

Mar 18, 2026

6 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-Pro-Max is available from DeepInfra, Novita, DeepSeek, Fireworks, Together. MiniMax M2.7 is available from Fireworks, MiniMax, Novita, DeepInfra.

DeepSeek-V4-Pro-Max

Deepinfra

Input Price:Input: $1.30/1MOutput Price:Output: $2.60/1M

Novita

Input Price:Input: $1.60/1MOutput Price:Output: $3.20/1M

DeepSeek

Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M

Fireworks

Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M

Together

Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M

MiniMax M2.7

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

MiniMax

Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Deepinfra

Input Price:Input: $0.38/1MOutput Price:Output: $1.70/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-Max and MiniMax M2.7 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max

✓ Preferred

MiniMax M2.7

Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-Max vs MiniMax M2.7.

Which is better, DeepSeek-V4-Pro-Max or MiniMax M2.7?

DeepSeek-V4-Pro-Max leads the LLM Stats Score 43.0 to 35.3. DeepSeek-V4-Pro-Max is made by DeepSeek and MiniMax M2.7 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-Pro-Max compare to MiniMax M2.7 in benchmarks?

DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%. MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.

Is DeepSeek-V4-Pro-Max cheaper than MiniMax M2.7?

MiniMax M2.7 is 4.3x cheaper for input tokens. DeepSeek-V4-Pro-Max costs $1.30/M input and $2.60/M output via deepinfra. MiniMax M2.7 costs $0.30/M input and $1.20/M output via fireworks.

What are the context window sizes for DeepSeek-V4-Pro-Max and MiniMax M2.7?

DeepSeek-V4-Pro-Max supports 1.0M tokens and MiniMax M2.7 supports 197K 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-Pro-Max and MiniMax M2.7?

Key differences include LLM Stats Score (43.0 vs 35.3), context window (1.0M vs 197K), input pricing ($1.30 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-Max and MiniMax M2.7?

DeepSeek-V4-Pro-Max is developed by DeepSeek and MiniMax M2.7 is developed by MiniMax.

DeepSeek-V4-Pro-Max vs MiniMax M2.7