Model Comparison

DeepSeek-V4-Pro-Max vs MiniMax M2.7Which is better in 2026?

DeepSeek-V4-Pro-Max has a slight edge in benchmark performance. MiniMax M2.7 is 3.8x cheaper per token.

Verdict: DeepSeek-V4-Pro-Max vs MiniMax M2.7 — which is better?

DeepSeek-V4-Pro-Max (by DeepSeek) and MiniMax M2.7 (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V4-Pro-Max outperforms in 3 benchmarks (GDPval-AA, Terminal-Bench 2.0, Toolathlon), while MiniMax M2.7 is better at 2 benchmarks (SWE-bench Multilingual, SWE-Bench Pro). DeepSeek-V4-Pro-Max has a slight edge in benchmark performance.

On price, MiniMax M2.7 is roughly 3.8x 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.

Choose DeepSeek-V4-Pro-Max if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • 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 if…

  • cost matters — it's about 3.8x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V4-Pro-Max outperforms in 3 benchmarks (GDPval-AA, Terminal-Bench 2.0, Toolathlon), while MiniMax M2.7 is better at 2 benchmarks (SWE-bench Multilingual, SWE-Bench Pro).

DeepSeek-V4-Pro-Max has a slight edge in benchmark performance.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, DeepSeek-V4-Pro-Max ($1.60/1M tokens) is 5.3x more expensive than MiniMax M2.7 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Pro-Max ($3.20/1M tokens) is 2.7x 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
Fri Jul 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-Max
Input tokens$1.60
Output tokens$3.20
Best providerNovita
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

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. MiniMax M2.7 can generate longer responses up to 196,608 tokens, while DeepSeek-V4-Pro-Max is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output131,072 tokens
MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Fri Jul 17 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

2 months ago

1mo newer
MiniMax M2.7

Mar 18, 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-Pro-Max is available from Novita, DeepInfra, DeepSeek, Fireworks, Together. MiniMax M2.7 is available from Fireworks, MiniMax, Novita.

DeepSeek-V4-Pro-Max

novita logo
Novita
Input Price:Input: $1.60/1MOutput Price:Output: $3.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
deepseek logo
DeepSeek
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
fireworks logo
Fireworks
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
together logo
Together
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M

MiniMax M2.7

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Higher GDPval-AA score (44.4% vs 39.3%)
Higher Terminal-Bench 2.0 score (67.9% vs 57.0%)
Higher Toolathlon score (51.8% vs 46.3%)
MiniMax
Less expensive input tokens
Less expensive output tokens
Higher SWE-bench Multilingual score (76.5% vs 76.2%)
Higher SWE-Bench Pro score (56.2% vs 55.4%)

Detailed Comparison

Interactive Arena

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
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Pro-Max
MiniMax
MiniMax M2.7

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 has a slight edge in benchmark performance. 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 benchmark scores, pricing, and capabilities 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 5.3x cheaper for input tokens. DeepSeek-V4-Pro-Max costs $1.60/M input and $3.20/M output via novita. 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 context window (1.0M vs 197K), input pricing ($1.60 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.

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