Ministral 3 14B vs Ministral 3 3B vs Nemotron 3 Nano 30B A3B
Ministral 3 3B comes out ahead, 74 to 68 and 63 on our weighted score, though Nemotron 3 Nano 30B A3B is 13% cheaper per token.
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
- Our pickMistral AI
Ministral 3 3B
74/100- ECI—
- Price$0.10 / $0.10
- Context262K
NVIDIANemotron 3 Nano 30B A3B
68/100- ECI—
- Price$0.05 / $0.20
- Context262K
Ministral 3 3B is our pick
Ministral 3 3B is the better all-round choice, scoring 74/100 against Nemotron 3 Nano 30B A3B (68) and Ministral 3 14B (63). Nemotron 3 Nano 30B A3B 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 Nano 30B A3BNemotron 3 Nano 30B A3B $0.087 · Ministral 3 3B $0.10 · Ministral 3 14B $0.282 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMinistral 3 14B 262,144 · Ministral 3 3B 262,144 · Nemotron 3 Nano 30B A3B 262,144 tokens
- Widest inputsMinistral 3 14B and Ministral 3 3BMinistral 3 14B: Text, Images · Ministral 3 3B: Text, Images · Nemotron 3 Nano 30B A3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ministral 3 14B | Ministral 3 3B | Nemotron 3 Nano 30B A3B |
|---|---|---|---|---|
| Price | 50% | 76 | 97 | 100 |
| Inputs & features | 30% | 60 | 60 | 35 |
| Context window | 20% | 37 | 37 | 37 |
| Overall | 100% | 63/100 | 74/100 | 68/100 |
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 | Ministral 3 14BMistral AI | Ministral 3 3BMistral AI | Nemotron 3 Nano 30B A3BNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.268 | $0.10 | $0.05 (best) |
| Output | $0.325 | $0.10 (best) | $0.20 |
| Cached input | — | — | — |
| Blended (3:1) | $0.282 | $0.10 | $0.087 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 1 providers | Median of 13 providers |
| Limits | |||
| Context window | 262,144 tokens | 262,144 tokens | 262,144 tokens |
| Max output | 262,144 tokens | 262,144 tokens | 262,144 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | OpenApache 2.0 | OpenApache 2.0 | Open |
| API model ID | — | — | nvidia/nemotron-3-nano-30b-a3b |
| API providers | 2 | 1 | 16 (best) |
| Released | Dec 2, 2025 | Dec 2, 2025 | Dec 15, 2025 |
| 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.
- Ministral 3 14B$3.33
- Ministral 3 3B$1.20
- Nemotron 3 Nano 30B A3B$0.90
Which should you choose?
Which is better: Ministral 3 14B, Ministral 3 3B or Nemotron 3 Nano 30B A3B?
Ministral 3 3B is the better all-round choice, scoring 74/100 against Nemotron 3 Nano 30B A3B (68) and Ministral 3 14B (63). Nemotron 3 Nano 30B A3B 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, Ministral 3 14B, Ministral 3 3B or Nemotron 3 Nano 30B A3B?
Nemotron 3 Nano 30B A3B is cheaper at $0.05 input / $0.20 output per million tokens (median across 13 API providers; free on Nvidia). Ministral 3 3B costs $0.10 input / $0.10 output per million tokens (median across 1 API provider); Ministral 3 14B costs $0.268 input / $0.325 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.087 per million tokens for Nemotron 3 Nano 30B A3B versus $0.10 for Ministral 3 3B (1.1× as much) and $0.282 for Ministral 3 14B (3.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ministral 3 14B has not been scored yet, Ministral 3 3B has not been scored yet and Nemotron 3 Nano 30B A3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 3 14B, Ministral 3 3B and Nemotron 3 Nano 30B A3B 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?
Ministral 3 14B, Ministral 3 3B and Nemotron 3 Nano 30B A3B share the same 262,144-token context window. Maximum output per response: Ministral 3 14B up to 262,144, Ministral 3 3B up to 262,144, Nemotron 3 Nano 30B A3B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 14B accepts text and images; Ministral 3 3B accepts text and images; Nemotron 3 Nano 30B A3B accepts text. Ministral 3 14B handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Nemotron 3 Nano 30B A3B is the newest, released Dec 15, 2025. Ministral 3 14B came out Dec 2, 2025; Ministral 3 3B came out Dec 2, 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 Oct 4, 2026.
