Knowledge
Like-for-like- MiniMax M2.7
- 48.7
- Supported · #90/183
- Nemotron 3 Nano Omni 30B A3B
- 38.7
- Supported · #143/183
- Basis
- BenchAlign lane · 4 vs 3 public rows
- Reading
- MiniMax M2.7 leads · intervals overlap
MiniMax M2.7 vs Nemotron 3 Nano Omni 30B A3B
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
MiniMax M2.7 has the higher public score estimate, 55.19 versus 40.6, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Nemotron 3 Nano Omni 30B A3B
Nemotron 3 Nano Omni 30B A3B has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
MiniMax M2.7 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
MiniMax M2.7 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. MiniMax M2.7 does not fit this workload in one request. MiniMax M2.7 has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Confidence: rate-fallback
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
22 MiniMax M2.7 only
1 Shared
15 Nemotron 3 Nano Omni 30B A3B only
- Shared results
- 1
- MiniMax M2.7 only
- 22
- Nemotron 3 Nano Omni 30B A3B only
- 15
- Like-for-like categories
- 1 / 8
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Agentic
Directional only- MiniMax M2.7
- 41.2
- Estimated · #111/152
- Nemotron 3 Nano Omni 30B A3B
- 44.3
- Estimated · #90/152
- Basis
- BenchAlign lane · 7 vs 2 public rows
- Reading
- Directional only
Coding
Directional only- MiniMax M2.7
- 48.7
- Estimated · #67/151
- Nemotron 3 Nano Omni 30B A3B
- 40.2
- Estimated · #116/151
- Basis
- BenchAlign lane · 11 vs 2 public rows
- Reading
- Directional only
Instruction following
Directional only- MiniMax M2.7
- 93.0
- #10/123
- Nemotron 3 Nano Omni 30B A3B
- 75.9
- #59/123
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Directional only
Reasoning
Not comparable- MiniMax M2.7
- 74.8
- Unranked · 2 rankable rows
- Nemotron 3 Nano Omni 30B A3B
- 48.3
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- MiniMax M2.7
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- MiniMax M2.7
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- MiniMax M2.7
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 39.3
- #42/48
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
| Category | MiniMax M2.7 | Nemotron 3 Nano Omni 30B A3B | Basis | Reading |
|---|---|---|---|---|
| Knowledge | 48.7Supported · #90/183 | 38.7Supported · #143/183 | Like-for-likeBenchAlign lane · 4 vs 3 public rows | MiniMax M2.7 leads · intervals overlap |
| Agentic | 41.2Estimated · #111/152 | 44.3Estimated · #90/152 | Directional onlyBenchAlign lane · 7 vs 2 public rows | Directional only |
| Coding | 48.7Estimated · #67/151 | 40.2Estimated · #116/151 | Directional onlyBenchAlign lane · 11 vs 2 public rows | Directional only |
| Instruction following | 93.0#10/123 | 75.9#59/123 | Directional onlyProvisional lane · 0 vs 1 weighted rows | Directional only |
| Reasoning | 74.8Unranked · 2 rankable rows | 48.3Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 39.3#42/48 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- MiniMax M2.7
- $0.0009
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- MiniMax M2.7
- $0.0186
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- MiniMax M2.7
- $0.078
- Does not fit in one request
- Cached input priced at the published list-input rate
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
MiniMax M2.7 does not fit this workload in one request. MiniMax M2.7 has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationMiniMax M2.7Nemotron 3 Nano Omni 30B A3B
Context window
Maximum documented context; output-token limits may be lower.
MiniMax M2.7
200K
Nemotron 3 Nano Omni 30B A3B
256K
API model ID
MiniMax M2.7
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
MiniMax M2.7
Not published
Nemotron 3 Nano Omni 30B A3B
No comparable hosted API rate
Documented inputs
MiniMax M2.7
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Documented outputs
MiniMax M2.7
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Provider availability
MiniMax M2.7
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Reasoning profile
MiniMax M2.7
Non-Reasoning
Nemotron 3 Nano Omni 30B A3B
Reasoning
Weight access
MiniMax M2.7
Open Weight
Nemotron 3 Nano Omni 30B A3B
Open Weight
License
MiniMax M2.7
Open Weight
Nemotron 3 Nano Omni 30B A3B
Open Weight
Release date
MiniMax M2.7
2026-03-18
Nemotron 3 Nano Omni 30B A3B
2026-04-28
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- MiniMax M2.7 has the higher public score estimate, 55.19 versus 40.6, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Nemotron 3 Nano Omni 30B A3B has the larger documented window (256K).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence38 rows
Agentic
Terminal-Bench 2.0
MiniMax M2.757%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Toolathlon
MiniMax M2.746.3%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
MLE-Bench Lite
MiniMax M2.766.6%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
MM-ClawBench
MiniMax M2.762.7%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Claw-Eval
MiniMax M2.748.7%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Gert Labs
MiniMax M2.740.40%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Terminal-Bench 2.1 (Vals)
MiniMax M2.748.7%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
OSWorld
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B47.4%SourceNot directly comparable
τ²-bench results
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B45.3%SourceNot directly comparable
Coding
SWE-bench Verified*
MiniMax M2.775.4%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
SWE-bench Pro
MiniMax M2.756.2%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
SWE-Rebench
MiniMax M2.751.9%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
SWE Multilingual
MiniMax M2.776.5%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Multi-SWE Bench
MiniMax M2.752.7%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
VIBE-Pro
MiniMax M2.755.6%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
NL2Repo
MiniMax M2.739.8%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Vibe Code Bench
MiniMax M2.727.04%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
React Native Evals
MiniMax M2.771.4%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
LiveCodeBench (Vals)
MiniMax M2.779.9%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
SWE-bench (Vals)
MiniMax M2.773.8%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
LiveCodeBench v5
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B63.2%SourceNot directly comparable
SciCode
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B32%SourceNot directly comparable
Knowledge
GPQA-D
MiniMax M2.787.0%SourceNemotron 3 Nano Omni 30B A3B72.2%SourceMiniMax M2.7 leads this result
MMLU-Pro (Arcee)
MiniMax M2.780.8%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
GPQA Diamond (Vals)
MiniMax M2.786.6%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
MMLU-Pro (Vals)
MiniMax M2.780.4%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
MMLU-Pro
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B77.3%SourceNot directly comparable
GPQA
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B72.2%SourceNot directly comparable
Math
Multimodal
MMMU
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B70.8%SourceNot directly comparable
MMLongBench-Doc
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B57.5%SourceNot directly comparable
CharXiv
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B76.3%SourceNot directly comparable
ScreenSpot Pro
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B57.8%SourceNot directly comparable
Video-MME (w/o subtitle)
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B72.2%SourceNot directly comparable
AI2D_TEST
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B88.5%SourceNot directly comparable
RefCOCO (avg)
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B90.5%SourceNot directly comparable
Instruction following
IFBench
MiniMax M2.7—Nemotron 3 Nano Omni 30B A3B74.2%SourceNot directly comparable
Frequently asked questions
Which is better, MiniMax M2.7 or Nemotron 3 Nano Omni 30B A3B?
MiniMax M2.7 has the higher public score estimate, 55.19 versus 40.6, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, MiniMax M2.7 or Nemotron 3 Nano Omni 30B A3B?
MiniMax M2.7 scores higher for coding on the public lane, 48.7 to 40.2. MiniMax M2.7 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, MiniMax M2.7 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B scores higher for agentic tasks on the public lane, 44.3 to 41.2. MiniMax M2.7 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, MiniMax M2.7 or Nemotron 3 Nano Omni 30B A3B?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, MiniMax M2.7 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the larger documented context window: 256K, compared with 200K.
Related comparisons
Last updated September 10, 2026
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