MiniMax-M3 vs Nemotron 3.5 Super 120B A12B
MiniMax-M3 comes out ahead, 63 to 59 on our weighted score, though Nemotron 3.5 Super 120B A12B is 48% cheaper per token.
- Our pick
MiniMaxMiniMax-M3
63/100- ECI146.9
- Price$0.30 / $1.20
- Context1.05M
NVIDIANemotron 3.5 Super 120B A12B
59/100- ECI—
- Price$0.20 / $0.50
- Context1.05M
Add a model
Make it a three-way comparison.
MiniMax-M3 is our pick
MiniMax-M3 is the better all-round choice, scoring 63/100 against Nemotron 3.5 Super 120B A12B (59). It leads on inputs & features. Nemotron 3.5 Super 120B A12B wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceNemotron 3.5 Super 120B A12BNemotron 3.5 Super 120B A12B $0.275 · MiniMax-M3 $0.525 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMiniMax-M3 1,048,576 · Nemotron 3.5 Super 120B A12B 1,048,576 tokens
- Widest inputsMiniMax-M3MiniMax-M3: Text, Images, Video · Nemotron 3.5 Super 120B A12B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | MiniMax-M3 | Nemotron 3.5 Super 120B A12B |
|---|---|---|---|
| Price | 50% | 60 | 73 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 61 | 61 |
| Overall | 100% | 63/100 | 59/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | MiniMax-M3MiniMax | Nemotron 3.5 Super 120B A12BNVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 146.9 | — |
| ECI rank | #72 of 165 | — |
| GPQA DiamondGraduate-level science questions | 90.9% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 71.1% | — |
| Price per million tokens | ||
| Input | $0.30 | $0.20 (best) |
| Output | $1.20 | $0.50 (best) |
| Cached input | $0.06 | — |
| Blended (3:1) | $0.525 | $0.275 (best) |
| Long-context rate | Over 512K: $0.60 / $2.40 | Same rate |
| Price source | Official MiniMax (minimax.io) API | Median of 1 providers |
| Limits | ||
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 512,000 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | MiniMax-M3 | — |
| API providers | 50 (best) | 1 |
| Released | Jun 1, 2026 | Oct 15, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiniMax-M3$5.40
- Nemotron 3.5 Super 120B A12B$3.00
Which should you choose?
Which is better: MiniMax-M3 or Nemotron 3.5 Super 120B A12B?
MiniMax-M3 is the better all-round choice, scoring 63/100 against Nemotron 3.5 Super 120B A12B (59). It leads on inputs & features. Nemotron 3.5 Super 120B A12B wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, MiniMax-M3 or Nemotron 3.5 Super 120B A12B?
Nemotron 3.5 Super 120B A12B is cheaper at $0.20 input / $0.50 output per million tokens (median across 1 API provider). MiniMax-M3 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Nemotron 3.5 Super 120B A12B versus $0.525 for MiniMax-M3 (1.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiniMax-M3 has an ECI of 146.9 and Nemotron 3.5 Super 120B A12B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M3 and Nemotron 3.5 Super 120B A12B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiniMax-M3 and Nemotron 3.5 Super 120B A12B share the same 1,048,576-token context window. Maximum output per response: MiniMax-M3 up to 512,000, Nemotron 3.5 Super 120B A12B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M3 accepts text, images and video; Nemotron 3.5 Super 120B A12B accepts text. MiniMax-M3 handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Nemotron 3.5 Super 120B A12B is the newest, released Oct 15, 2026. MiniMax-M3 came out Jun 1, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
Related comparisons
- Add Qwen3.7 PlusThree-way comparison
- MiniMax-M3 vs Qwen3.7 PlusAlibaba (Qwen) · ECI 147.1
- MiniMax-M3 vs GPT-5.4 nanoOpenAI · ECI 146.1
- MiniMax-M3 vs Nemotron 3 Ultra 550B A55BNVIDIA · ECI 146.0
- MiniMax-M3 vs Gemini 3.5 Flash LiteGoogle · ECI 145.0
- Nemotron 3.5 Super 120B A12B vs MiniMax-M3.1-FlashMiniMax
- Nemotron 3.5 Super 120B A12B vs Kolibri 1Aleph Alpha
