GPT-5.4 nano vs MiniMax M2.7

Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.

MiniMax M2.7 is clearly ahead on the aggregate, 57 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

MiniMax M2.7's sharpest advantage is in agentic, where it averages 57 against 42.9. The single biggest benchmark swing on the page is Toolathlon, 35.5% to 46.3%.

GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. GPT-5.4 nano is the reasoning model in the pair, while MiniMax M2.7 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 nano gives you the larger context window at 400K, compared with 200K for MiniMax M2.7.

Quick Verdict

Pick MiniMax M2.7 if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you need the larger 400K context window or you want the stronger reasoning-first profile.

Agentic

MiniMax M2.7

GPT-5.4 nano

42.9

MiniMax M2.7

57

46.3%
Terminal-Bench 2.0
57%
39%
OSWorld-Verified
Coming soon
56.1%
MCP Atlas
Coming soon
35.5%
Toolathlon
46.3%
92.5%
tau2-bench
Coming soon
Coming soon
MLE-Bench Lite
66.6%
Coming soon
MM-ClawBench
62.7%

Coding

MiniMax M2.7

GPT-5.4 nano

52.4

MiniMax M2.7

56.2

52.4%
SWE-bench Pro
56.2%
Coming soon
SWE Multilingual
76.5%
Coming soon
Multi-SWE Bench
52.7%
Coming soon
VIBE-Pro
55.6%
Coming soon
NL2Repo
39.8%

Multimodal & Grounded

Coming soon

Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.

66.1%
MMMU-Pro
Coming soon
69.5%
MMMU-Pro w/ Python
Coming soon
0.2419
OmniDocBench 1.5
Coming soon
Coming soon
GDPval-AA
1495

Reasoning

Coming soon

Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.

38.7%
MRCRv2
Coming soon
44.2%
MRCR v2 64K-128K
Coming soon
33.1%
MRCR v2 128K-256K
Coming soon
73.4%
Graphwalks BFS 128K
Coming soon
50.8%
Graphwalks Parents 128K
Coming soon

Knowledge

Coming soon

Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.

82.8%
GPQA
Coming soon
37.7%
HLE
Coming soon
24.3%
HLE w/o tools
Coming soon
Coming soon
Artificial Analysis
50

Instruction Following

Coming soon

Benchmark data for this category is coming soon.

Multilingual

Coming soon

Benchmark data for this category is coming soon.

Mathematics

Coming soon

Benchmark data for this category is coming soon.

Frequently Asked Questions

Which is better, GPT-5.4 nano or MiniMax M2.7?

MiniMax M2.7 is ahead overall, 57 to 49. The biggest single separator in this matchup is Toolathlon, where the scores are 35.5% and 46.3%.

Which is better for coding, GPT-5.4 nano or MiniMax M2.7?

MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 52.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.4 nano or MiniMax M2.7?

MiniMax M2.7 has the edge for agentic tasks in this comparison, averaging 57 versus 42.9. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.

Last updated: March 18, 2026

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