Model Comparison

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

MiniMax M2.7 has a slight edge in benchmark performance. DeepSeek-V4-Flash-Max is 4.2x cheaper per token.

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

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

On price, DeepSeek-V4-Flash-Max is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-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-Flash-Max if…

  • cost matters — it's about 4.2x 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 Apr 2026

Choose MiniMax M2.7 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

MiniMax M2.7 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

DeepSeek-V4-Flash-Max costs less

For input processing, DeepSeek-V4-Flash-Max ($0.10/1M tokens) is 3.0x cheaper than MiniMax M2.7 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Flash-Max ($0.20/1M tokens) is 6.0x cheaper than MiniMax M2.7 ($1.20/1M tokens).

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

* 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-Flash-Max
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
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-Flash-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-Flash-Max is limited to 65,536 tokens.

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output65,536 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-Flash-Max

MIT

Open weights

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek-V4-Flash-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-Flash-Max is available from DeepInfra, DeepSeek, Fireworks, Novita. MiniMax M2.7 is available from Fireworks, MiniMax, Novita.

DeepSeek-V4-Flash-Max

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M

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)
Less expensive input tokens
Less expensive output tokens
Higher GDPval-AA score (40.1% vs 39.3%)
Higher Toolathlon score (47.8% vs 46.3%)
MiniMax
Higher SWE-bench Multilingual score (76.5% vs 73.3%)
Higher SWE-Bench Pro score (56.2% vs 52.6%)
Higher Terminal-Bench 2.0 score (57.0% vs 56.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

DeepSeek-V4-Flash-Max
✓ Preferred
MiniMax M2.7
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-Max
MiniMax
MiniMax M2.7

FAQ

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

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

MiniMax M2.7 has a slight edge in benchmark performance. DeepSeek-V4-Flash-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-Flash-Max compare to MiniMax M2.7 in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. 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-Flash-Max cheaper than MiniMax M2.7?

DeepSeek-V4-Flash-Max is 3.0x cheaper for input tokens. DeepSeek-V4-Flash-Max costs $0.10/M input and $0.20/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-Flash-Max and MiniMax M2.7?

DeepSeek-V4-Flash-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-Flash-Max and MiniMax M2.7?

Key differences include context window (1.0M vs 197K), input pricing ($0.10 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

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

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

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