Nemotron 3 Super 120B A12B vs MiMo-V2-Pro vs Mistral Small 4
Mistral Small 4 comes out ahead, 65 to 54 and 42 on our weighted score, and it is the cheaper option too.
NVIDIANemotron 3 Super 120B A12B
54/100- ECI—
- Price$0.15 / $0.65
- Context262K
XiaomiMiMo-V2-Pro
42/100- ECI—
- Price$1.00 / $3.00
- Context1.05M
- Our pick
Mistral AIMistral Small 4
65/100- ECI—
- Price$0.15 / $0.60
- Context256K
Mistral Small 4 is our pick
Mistral Small 4 is the better all-round choice, scoring 65/100 against Nemotron 3 Super 120B A12B (54) and MiMo-V2-Pro (42). It leads on inputs & features. MiMo-V2-Pro wins on context window. 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 priceMistral Small 4Mistral Small 4 $0.263 · Nemotron 3 Super 120B A12B $0.275 · MiMo-V2-Pro $1.50 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-ProMiMo-V2-Pro 1,048,576 · Nemotron 3 Super 120B A12B 262,144 · Mistral Small 4 256,000 tokens
- Widest inputsMistral Small 4Nemotron 3 Super 120B A12B: Text · MiMo-V2-Pro: Text · Mistral Small 4: Text, Images
- Self-hostingNemotron 3 Super 120B A12B and Mistral Small 4Publishes downloadable weights
| Measure | Weight | Nemotron 3 Super 120B A12B | MiMo-V2-Pro | Mistral Small 4 |
|---|---|---|---|---|
| Price | 50% | 73 | 40 | 74 |
| Inputs & features | 30% | 35 | 35 | 70 |
| Context window | 20% | 37 | 61 | 36 |
| Overall | 100% | 54/100 | 42/100 | 65/100 |
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 | Nemotron 3 Super 120B A12BNVIDIA | MiMo-V2-ProXiaomi | Mistral Small 4Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 (best) | $1.00 | $0.15 (best) |
| Output | $0.65 | $3.00 | $0.60 (best) |
| Cached input | — | — | $0.015 |
| Blended (3:1) | $0.275 | $1.50 | $0.263 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 16 providers | Median of 1 providers | Official Mistral API |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens (best) | 256,000 tokens |
| Max output | 262,144 tokens (best) | 131,072 tokens | 256,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yeshigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | — | — | mistral-small-2603 |
| API providers | 18 | 2 | 21 (best) |
| Released | Mar 11, 2026 | Mar 18, 2026 | Mar 16, 2026 |
| Knowledge cutoff | Jun 2025 | Dec 2024 | Jun 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nemotron 3 Super 120B A12B$2.80
- MiMo-V2-Pro$16.00
- Mistral Small 4$2.70
Which should you choose?
Which is better: Nemotron 3 Super 120B A12B, MiMo-V2-Pro or Mistral Small 4?
Mistral Small 4 is the better all-round choice, scoring 65/100 against Nemotron 3 Super 120B A12B (54) and MiMo-V2-Pro (42). It leads on inputs & features. MiMo-V2-Pro wins on context window. 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, Nemotron 3 Super 120B A12B, MiMo-V2-Pro or Mistral Small 4?
Mistral Small 4 is cheaper at $0.15 input / $0.60 output per million tokens (official Mistral API price). Nemotron 3 Super 120B A12B costs $0.15 input / $0.65 output per million tokens (median across 16 API providers); MiMo-V2-Pro costs $1.00 input / $3.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for Mistral Small 4 versus $0.275 for Nemotron 3 Super 120B A12B (1× as much) and $1.50 for MiMo-V2-Pro (5.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron 3 Super 120B A12B has not been scored yet, MiMo-V2-Pro has not been scored yet and Mistral Small 4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3 Super 120B A12B, MiMo-V2-Pro and Mistral Small 4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
MiMo-V2-Pro has the largest context window at 1,048,576 tokens, against 262,144 for Nemotron 3 Super 120B A12B and 256,000 for Mistral Small 4. Maximum output per response: Nemotron 3 Super 120B A12B up to 262,144, MiMo-V2-Pro up to 131,072, Mistral Small 4 up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3 Super 120B A12B accepts text; MiMo-V2-Pro accepts text; Mistral Small 4 accepts text and images. Mistral Small 4 handles the widest range of inputs.
Are any of these open source?
Nemotron 3 Super 120B A12B and Mistral Small 4 publishes its weights and can be self-hosted; MiMo-V2-Pro is proprietary.
Which is newer?
MiMo-V2-Pro is the newest, released Mar 18, 2026. Mistral Small 4 came out Mar 16, 2026; Nemotron 3 Super 120B A12B came out Mar 11, 2026. Knowledge cutoff: Nemotron 3 Super 120B A12B Jun 2025, MiMo-V2-Pro Dec 2024, Mistral Small 4 Jun 2025.
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.
