Model comparison
MiniMax M3 vs Nemotron 3 Super 100B
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: MiniMax M3 #18; Nemotron 3 Super 100B unranked
BenchAlign evidence: MiniMax M3 supported; Nemotron 3 Super 100B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiniMax M3 and Nemotron 3 Super 100B share 1 comparable benchmark result. 0 of 8 categories are comparable. 44 results are unique to MiniMax M3; 0 to Nemotron 3 Super 100B.
Updated July 16, 2026- Shared results
- 1
- MiniMax M3 only
- 44
- Nemotron 3 Super 100B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for MiniMax M3 and Nemotron 3 Super 100B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
MiniMax M3 is priced at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 100B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | MiniMax M3 | Δ | Nemotron 3 Super 100B |
|---|---|---|---|
| Agentic | MiniMax M372.3 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Coding | MiniMax M372.2 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Math | MiniMax M385.7 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Multimodal | MiniMax M364.9 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiniMax M3 | Nemotron 3 Super 100B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiniMax M3$0.3 input / $1.2 output | Nemotron 3 Super 100B$0 input / $0 output | Nemotron 3 Super 100B has the lower combined listed price. |
| Generation speedtokens per second | MiniMax M3Not available | Nemotron 3 Super 100B367 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiniMax M3Not available | Nemotron 3 Super 100B0.71 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiniMax M31M | Nemotron 3 Super 100B1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | MiniMax M3 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66% | — | Not comparable |
| BrowseCompSource | 83.5% | — | Not comparable |
| OSWorld-VerifiedSource | 70.1% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| Claw-EvalSource | 74.5% | 5.5% | MiniMax M3 leads |
| AA Agentic IndexSource | 35.4% | — | Not comparable |
| τ²-bench resultsSource | 88.9% | — | Not comparable |
| GDPval-AASource | 44.7% | — | Not comparable |
| GDPval-AASource | 1395 | — | Not comparable |
| GDPval rubricsSource | 74.7% | — | Not comparable |
| BankerToolBenchSource | 76.1% | — | Not comparable |
| ResearchClawBenchSource | 19.8% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| AA BriefcaseSource | 1110 | — | Not comparable |
| AA EnterpriseOps-GymSource | 32.1% | — | Not comparable |
| AA Harvey LABSource | 6.7% | — | Not comparable |
Coding11 benchmarks
| Benchmark | MiniMax M3 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.5% | — | Not comparable |
| SWE-bench ProSource | 59% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.0% | — | Not comparable |
| NL2RepoSource | 42.1% | — | Not comparable |
| AA Coding IndexSource | 58.6% | — | Not comparable |
| Terminal-Bench HardSource | 42.4% | — | Not comparable |
| AA-SciCodeSource | 45.4% | — | Not comparable |
| VIBE V2Source | 50.1% | — | Not comparable |
| SVG-BenchSource | 63.7% | — | Not comparable |
| KernelBench HardSource | 28.8% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 65.2% | — | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | MiniMax M3 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 44.4% | — | Not comparable |
| AA-GPQA DiamondSource | 92.9% | — | Not comparable |
| AA-HLESource | 37.1% | — | Not comparable |
| AA-Omniscience IndexSource | 1.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 16.1% | — | Not comparable |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Math1 benchmarks
| Benchmark | MiniMax M3 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| USAMO 2026Source | 85.7% | — | Not comparable |
Multimodal7 benchmarks
| Benchmark | MiniMax M3 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| OfficeQA ProSource | 45.1% | — | Not comparable |
| OmniDocBench 1.5Source | 91.6% | — | Not comparable |
| MMMU-ProSource | 78.1% | — | Not comparable |
| VideoMMMUSource | 84.6% | — | Not comparable |
| Video-MME (with subtitle)Source | 85.4% | — | Not comparable |
| Design Arena WebsiteSource | 1294 | — | Not comparable |
| AA-MMMU-ProSource | 78.6% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | MiniMax M3 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| AA-IFBenchSource | 82.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare MiniMax M3 and Nemotron 3 Super 100B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for MiniMax M3 and Nemotron 3 Super 100B today?
MiniMax M3: $0.30 input / $1.20 output per 1M tokens Nemotron 3 Super 100B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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