Model Comparison

MiniMax M3 vs MiniMax M2.7Which is better in 2026?

MiniMax M3 significantly outperforms across most benchmarks. MiniMax M3 and MiniMax M2.7 cost the same.

Verdict: MiniMax M3 vs MiniMax M2.7 — which is better?

MiniMax M3 (by MiniMax) 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.

MiniMax M3 outperforms in 4 benchmarks (Finance Agent v2, GDPval-AA, NL2Repo, SWE-Bench Pro), while MiniMax M2.7 is better at 0 benchmarks. MiniMax M3 significantly outperforms across most benchmarks.

MiniMax M3 also accepts a larger context window (512,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiniMax M3 if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you process long inputs — it offers a 512,000 token context window
  • you want the most recent training data — it shipped Jun 2026

Choose MiniMax M2.7 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MiniMax M3 outperforms in 4 benchmarks (Finance Agent v2, GDPval-AA, NL2Repo, SWE-Bench Pro), while MiniMax M2.7 is better at 0 benchmarks.

MiniMax M3 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

For input processing, MiniMax M3 ($0.30/1M tokens) costs the same as MiniMax M2.7 ($0.30/1M tokens).

For output processing, MiniMax M3 ($1.20/1M tokens) costs the same as MiniMax M2.7 ($1.20/1M tokens).

In conclusion, MiniMax M3 and MiniMax M2.7 cost the same.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
MiniMax
MiniMax M3
Input tokens$0.30
Output tokens$1.20
Best providerFireworks
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

MiniMax M3 accepts 512,000 input tokens compared to MiniMax M2.7's 196,608 tokens. MiniMax M2.7 can generate longer responses up to 196,608 tokens, while MiniMax M3 is limited to 131,072 tokens.

MiniMax
MiniMax M3
Input512,000 tokens
Output131,072 tokens
MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiniMax M3 supports multimodal inputs, whereas MiniMax M2.7 does not.

MiniMax M3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M3

Text
Images
Audio
Video

MiniMax M2.7

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.

MiniMax M3

MIT

Open weights

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

MiniMax M3 was released on 2026-06-01, while MiniMax M2.7 was released on 2026-03-18.

MiniMax M3 is 3 months newer than MiniMax M2.7.

MiniMax M3

Jun 1, 2026

1 months ago

2mo 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

MiniMax M3 is available from Fireworks, Novita, Together, MiniMax. MiniMax M2.7 is available from Fireworks, MiniMax, Novita.

MiniMax M3

fireworks logo
Fireworks
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
together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
minimax logo
MiniMax
Input Price:Input: $0.60/1MOutput Price:Output: $2.40/1M

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

Larger context window (512,000 tokens)
Supports multimodal inputs
Higher Finance Agent v2 score (48.3% vs 27.9%)
Higher GDPval-AA score (47.7% vs 39.3%)
Higher NL2Repo score (42.1% vs 39.8%)
Higher SWE-Bench Pro score (59.0% vs 56.2%)

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M3 and MiniMax M2.7 side-by-side, then vote on the output you prefer.

MiniMax M3
✓ Preferred
MiniMax M2.7
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M3
MiniMax
MiniMax M2.7

FAQ

Common questions about MiniMax M3 vs MiniMax M2.7.

Which is better, MiniMax M3 or MiniMax M2.7?

MiniMax M3 significantly outperforms across most benchmarks. MiniMax M3 is made by MiniMax 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 MiniMax M3 compare to MiniMax M2.7 in benchmarks?

MiniMax M3 scores OmniDocBench 1.5: 91.6%, SpreadSheetBench-v1: 89.3%, USAMO 2026: 85.7%, Video-MME: 85.4%, VideoMMMU: 84.6%. 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 MiniMax M3 cheaper than MiniMax M2.7?

Both models cost $0.30 per million input tokens.

What are the context window sizes for MiniMax M3 and MiniMax M2.7?

MiniMax M3 supports 512K 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 MiniMax M3 and MiniMax M2.7?

Key differences include context window (512K vs 197K), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.