Granite-4.0-H-Micro vs Sarvam 30B vs Tiny Aya Fire
Too close to call on our weighted score (Granite-4.0-H-Micro 31, Sarvam 30B 31, Tiny Aya Fire 15). The right pick depends on what you value most.
IBMGranite-4.0-H-Micro
31/100- ECI—
- Price$0.017 / $0.112
- Context131K
Sarvam AI
Sarvam 30B
31/100- ECI—
- Price$0.02 / $0.10
- Context128K
CohereTiny Aya Fire
15/100- ECI—
- Price—
- Context8K
Too close to call
It is close. Our weighted score puts them within a point (Granite-4.0-H-Micro 31/100, Sarvam 30B 31/100, Tiny Aya Fire 15/100), so choose by what matters most for your work: Sarvam 30B on price and Granite-4.0-H-Micro for long inputs. 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 priceSarvam 30BSarvam 30B $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 · Sarvam 30B 128,000 · Tiny Aya Fire 8,000 tokens
- Widest inputsSame inputsGranite-4.0-H-Micro: Text · Sarvam 30B: Text · Tiny Aya Fire: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Granite-4.0-H-Micro | Sarvam 30B | Tiny Aya Fire |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 35 | 25 |
| Context window | 40% | 24 | 24 | 0 |
| Overall | 100% | 31/100 | 31/100 | 15/100 |
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 | Sarvam 30BSarvam AI | Tiny Aya FireCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.017 (best) | $0.02 | — |
| Output | $0.112 | $0.10 (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 1 providers | — |
| Limits | |||
| Context window | 131,072 tokens (best) | 128,000 tokens | 8,000 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens | 8,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes · low · medium · high | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Open | OpenCC-BY-NC-4.0 |
| API model ID | — | sarvam-30b | tiny-aya-fire |
| API providers | 1 | 2 (best) | 1 |
| Released | Oct 2, 2025 | Feb 18, 2026 | Feb 17, 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.
- Granite-4.0-H-Micro$0.394
- Sarvam 30B$0.40
- Tiny Aya Fire—
Which should you choose?
Which is better: Granite-4.0-H-Micro, Sarvam 30B or Tiny Aya Fire?
It is close. Our weighted score puts them within a point (Granite-4.0-H-Micro 31/100, Sarvam 30B 31/100, Tiny Aya Fire 15/100), so choose by what matters most for your work: Sarvam 30B on price and Granite-4.0-H-Micro for long inputs. 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, Sarvam 30B or Tiny Aya Fire?
Sarvam 30B is cheaper at $0.02 input / $0.10 output per million tokens (median across 1 API provider). 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 Sarvam 30B 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, Sarvam 30B has not been scored yet and Tiny Aya Fire has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Granite-4.0-H-Micro, Sarvam 30B and Tiny Aya Fire 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 Sarvam 30B and 8,000 for Tiny Aya Fire. Maximum output per response: Granite-4.0-H-Micro up to 131,072, Sarvam 30B up to 128,000, Tiny Aya Fire up to 8,000 tokens.
Which can read images, PDFs, audio or video?
Granite-4.0-H-Micro accepts text; Sarvam 30B accepts text; Tiny Aya Fire accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Sarvam 30B is the newest, released Feb 18, 2026. Tiny Aya Fire came out Feb 17, 2026; Granite-4.0-H-Micro came out Oct 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.
