Granite-4.0-H-Micro vs Tiny Aya Fire vs Voxtral Mini 3B 2507
Granite-4.0-H-Micro comes out ahead, 31 to 21 and 15 on our weighted score.
- Our pick
IBMGranite-4.0-H-Micro
31/100- ECI—
- Price$0.017 / $0.112
- Context131K
CohereTiny Aya Fire
15/100- ECI—
- Price—
- Context8K
Mistral AIVoxtral Mini 3B 2507
21/100- ECI—
- Price$0.04 / $0.04
- Context33K
Granite-4.0-H-Micro is our pick
Granite-4.0-H-Micro is the better all-round choice, scoring 31/100 against Voxtral Mini 3B 2507 (21) and Tiny Aya Fire (15). It leads on context window. The score weighs inputs & features 60%, context window 40%. 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 priceVoxtral Mini 3B 2507Voxtral Mini 3B 2507 $0.04 · Granite-4.0-H-Micro $0.041 per 1M tokens (3:1 blend) · Tiny Aya Fire unpriced
- Longest contextGranite-4.0-H-MicroGranite-4.0-H-Micro 131,072 · Voxtral Mini 3B 2507 32,768 · Tiny Aya Fire 8,000 tokens
- Widest inputsVoxtral Mini 3B 2507Granite-4.0-H-Micro: Text · Tiny Aya Fire: Text · Voxtral Mini 3B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Granite-4.0-H-Micro | Tiny Aya Fire | Voxtral Mini 3B 2507 |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 25 | 35 |
| Context window | 40% | 24 | 0 | 0 |
| Overall | 100% | 31/100 | 15/100 | 21/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Granite-4.0-H-MicroIBM | Tiny Aya FireCohere | Voxtral Mini 3B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.017 (best) | — | $0.04 |
| Output | $0.112 | — | $0.04 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.041 | — | $0.04 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 1 providers | — | Median of 2 providers |
| Limits | |||
| Context window | 131,072 tokens (best) | 8,000 tokens | 32,768 tokens |
| Max output | 131,072 tokens (best) | 8,000 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | OpenCC-BY-NC-4.0 | OpenApache 2.0 |
| API model ID | — | tiny-aya-fire | — |
| API providers | 1 | 1 | 2 (best) |
| Released | Oct 2, 2025 | Feb 17, 2026 | Jul 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.
- Granite-4.0-H-Micro$0.394
- Tiny Aya Fire—
- Voxtral Mini 3B 2507$0.48
Which should you choose?
Which is better: Granite-4.0-H-Micro, Tiny Aya Fire or Voxtral Mini 3B 2507?
Granite-4.0-H-Micro is the better all-round choice, scoring 31/100 against Voxtral Mini 3B 2507 (21) and Tiny Aya Fire (15). It leads on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Granite-4.0-H-Micro, Tiny Aya Fire or Voxtral Mini 3B 2507?
Voxtral Mini 3B 2507 is cheaper at $0.04 input / $0.04 output per million tokens (median across 2 API providers). Granite-4.0-H-Micro costs $0.017 input / $0.112 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.04 per million tokens for Voxtral Mini 3B 2507 versus $0.041 for Granite-4.0-H-Micro (1× as much). Tiny Aya Fire has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Granite-4.0-H-Micro has not been scored yet, Tiny Aya Fire has not been scored yet and Voxtral Mini 3B 2507 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Granite-4.0-H-Micro, Tiny Aya Fire and Voxtral Mini 3B 2507 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 32,768 for Voxtral Mini 3B 2507 and 8,000 for Tiny Aya Fire. Maximum output per response: Granite-4.0-H-Micro up to 131,072, Tiny Aya Fire up to 8,000, Voxtral Mini 3B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Granite-4.0-H-Micro accepts text; Tiny Aya Fire accepts text; Voxtral Mini 3B 2507 accepts text and audio. Voxtral Mini 3B 2507 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (CC-BY-NC-4.0 and Apache 2.0), so you can self-host them.
Which is newer?
Tiny Aya Fire is the newest, released Feb 17, 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 Oct 4, 2026.
