MiniMax M2.7 vs Nemotron-4 15B

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 46. 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 coding, where it averages 56.2 against 26.8. The single biggest benchmark swing on the page is SWE-bench Pro, 56.2% to 30%.

MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron-4 15B. That is roughly Infinityx on output cost alone. MiniMax M2.7 gives you the larger context window at 200K, compared with 32K for Nemotron-4 15B.

Quick Verdict

Pick MiniMax M2.7 if you want the stronger benchmark profile. Nemotron-4 15B only becomes the better choice if you want the cheaper token bill.

Agentic

MiniMax M2.7

MiniMax M2.7

57

Nemotron-4 15B

41.3

57%
Terminal-Bench 2.0
37%
46.3%
Toolathlon
Coming soon
66.6%
MLE-Bench Lite
Coming soon
62.7%
MM-ClawBench
Coming soon
Coming soon
BrowseComp
47%
Coming soon
OSWorld-Verified
42%

Coding

MiniMax M2.7

MiniMax M2.7

56.2

Nemotron-4 15B

26.8

56.2%
SWE-bench Pro
30%
76.5%
SWE Multilingual
Coming soon
52.7%
Multi-SWE Bench
Coming soon
55.6%
VIBE-Pro
Coming soon
39.8%
NL2Repo
Coming soon
Coming soon
HumanEval
46%
Coming soon
SWE-bench Verified
31%
Coming soon
LiveCodeBench
22%

Multimodal & Grounded

Coming soon

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

1495
GDPval-AA
Coming soon
Coming soon
MMMU-Pro
46%
Coming soon
OfficeQA Pro
54%

Reasoning

Coming soon

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

Coming soon
MuSR
50%
Coming soon
BBH
73%
Coming soon
LongBench v2
52%
Coming soon
MRCRv2
51%

Knowledge

Coming soon

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

50
Artificial Analysis
Coming soon
Coming soon
MMLU
54%
Coming soon
GPQA
53%
Coming soon
SuperGPQA
51%
Coming soon
MMLU-Pro
63%
Coming soon
HLE
5%
Coming soon
FrontierScience
50%
Coming soon
SimpleQA
52%

Instruction Following

Coming soon

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

Coming soon
IFEval
79%

Multilingual

Coming soon

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

Coming soon
MGSM
75%
Coming soon
MMLU-ProX
71%

Mathematics

Coming soon

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

Coming soon
AIME 2023
54%
Coming soon
AIME 2024
56%
Coming soon
AIME 2025
55%
Coming soon
HMMT Feb 2023
50%
Coming soon
HMMT Feb 2024
52%
Coming soon
HMMT Feb 2025
51%
Coming soon
BRUMO 2025
53%
Coming soon
MATH-500
71%

Frequently Asked Questions

Which is better, MiniMax M2.7 or Nemotron-4 15B?

MiniMax M2.7 is ahead overall, 57 to 46. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 56.2% and 30%.

Which is better for coding, MiniMax M2.7 or Nemotron-4 15B?

MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 26.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, MiniMax M2.7 or Nemotron-4 15B?

MiniMax M2.7 has the edge for agentic tasks in this comparison, averaging 57 versus 41.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Last updated: March 18, 2026

Weekly LLM Benchmark Digest

Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.

Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.