Voxtral Mini 3B 2507 vs Nemotron VoiceChat vs Granite-4.0-H-Micro
Too close to call on our weighted score (Nemotron VoiceChat 65, Granite-4.0-H-Micro 62, Voxtral Mini 3B 2507 61). The right pick depends on what you value most.
Mistral AIVoxtral Mini 3B 2507
61/100- ECI—
- Price$0.04 / $0.04
- Context33K
NVIDIANemotron VoiceChat
65/100- ECI—
- PriceFree / Free
- Context128K
IBMGranite-4.0-H-Micro
62/100- ECI—
- Price$0.018 / $0.115
- Context131K
Too close to call
It is close. Our weighted score puts them within 3 points (Nemotron VoiceChat 65/100, Granite-4.0-H-Micro 62/100, Voxtral Mini 3B 2507 61/100), so choose by what matters most for your work: Nemotron VoiceChat on price and Granite-4.0-H-Micro for long inputs. 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 VoiceChatNemotron VoiceChat Free · Voxtral Mini 3B 2507 $0.04 · Granite-4.0-H-Micro $0.042 per 1M tokens (3:1 blend)
- Longest contextGranite-4.0-H-MicroGranite-4.0-H-Micro 131,072 · Nemotron VoiceChat 128,000 · Voxtral Mini 3B 2507 32,768 tokens
- Widest inputsVoxtral Mini 3B 2507 and Nemotron VoiceChatVoxtral Mini 3B 2507: Text, Audio · Nemotron VoiceChat: Text, Audio · Granite-4.0-H-Micro: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Voxtral Mini 3B 2507 | Nemotron VoiceChat | Granite-4.0-H-Micro |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 35 | 35 | 25 |
| Context window | 20% | 0 | 24 | 25 |
| Overall | 100% | 61/100 | 65/100 | 62/100 |
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 | Voxtral Mini 3B 2507Mistral AI | Nemotron VoiceChatNVIDIA | Granite-4.0-H-MicroIBM |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.04 | Free (best) | $0.018 |
| Output | $0.04 | Free (best) | $0.115 |
| Cached input | — | — | — |
| Blended (3:1) | $0.04 | Free (best) | $0.042 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Nvidia API | Median of 2 providers |
| Limits | |||
| Context window | 32,768 tokens | 128,000 tokens | 131,072 tokens (best) |
| Max output | 32,768 tokens | 8,192 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | Yes | Yes | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache 2.0 | Open | Open |
| API model ID | — | nvidia/nemotron-voicechat | — |
| API providers | 3 (best) | 1 | 2 |
| Released | Jul 15, 2025 | Mar 16, 2026 | Oct 2, 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.
- Voxtral Mini 3B 2507$0.48
- Nemotron VoiceChatFree
- Granite-4.0-H-Micro$0.405
Which should you choose?
Which is better: Voxtral Mini 3B 2507, Nemotron VoiceChat or Granite-4.0-H-Micro?
It is close. Our weighted score puts them within 3 points (Nemotron VoiceChat 65/100, Granite-4.0-H-Micro 62/100, Voxtral Mini 3B 2507 61/100), so choose by what matters most for your work: Nemotron VoiceChat on price and Granite-4.0-H-Micro for long inputs. 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, Voxtral Mini 3B 2507, Nemotron VoiceChat or Granite-4.0-H-Micro?
Nemotron VoiceChat is cheaper at Free input / Free output per million tokens (official Nvidia API price). Voxtral Mini 3B 2507 costs $0.04 input / $0.04 output per million tokens (median across 2 API providers); Granite-4.0-H-Micro costs $0.018 input / $0.115 output per million tokens (median across 2 API providers). Nemotron VoiceChat is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Voxtral Mini 3B 2507 has not been scored yet, Nemotron VoiceChat has not been scored yet and Granite-4.0-H-Micro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Voxtral Mini 3B 2507, Nemotron VoiceChat and Granite-4.0-H-Micro 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?
Granite-4.0-H-Micro has the largest context window at 131,072 tokens, against 128,000 for Nemotron VoiceChat and 32,768 for Voxtral Mini 3B 2507. Maximum output per response: Voxtral Mini 3B 2507 up to 32,768, Nemotron VoiceChat up to 8,192, Granite-4.0-H-Micro up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Voxtral Mini 3B 2507 accepts text and audio; Nemotron VoiceChat accepts text and audio; Granite-4.0-H-Micro accepts text. Voxtral Mini 3B 2507 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 VoiceChat is the newest, released Mar 16, 2026. Granite-4.0-H-Micro came out Oct 2, 2025; Voxtral Mini 3B 2507 came out Jul 15, 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.
