DeepSeek OCR 2 vs Granite-4.0-H-Micro vs Sarvam 30B
Too close to call on our weighted score (Granite-4.0-H-Micro 65, Sarvam 30B 65, DeepSeek OCR 2 32). The right pick depends on what you value most.
DeepSeekDeepSeek OCR 2
32/100- ECI—
- Price$0.89 / $1.47
- Context8K
IBMGranite-4.0-H-Micro
65/100- ECI—
- Price$0.017 / $0.112
- Context131K
Sarvam AI
Sarvam 30B
65/100- ECI—
- Price$0.02 / $0.10
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (Granite-4.0-H-Micro 65/100, Sarvam 30B 65/100, DeepSeek OCR 2 32/100), 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 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 priceSarvam 30BSarvam 30B $0.04 · Granite-4.0-H-Micro $0.041 · DeepSeek OCR 2 $1.03 per 1M tokens (3:1 blend)
- Longest contextGranite-4.0-H-MicroGranite-4.0-H-Micro 131,072 · Sarvam 30B 128,000 · DeepSeek OCR 2 8,192 tokens
- Widest inputsDeepSeek OCR 2DeepSeek OCR 2: Text, Images · Granite-4.0-H-Micro: Text · Sarvam 30B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | DeepSeek OCR 2 | Granite-4.0-H-Micro | Sarvam 30B |
|---|---|---|---|---|
| Price | 50% | 49 | 100 | 100 |
| Inputs & features | 30% | 25 | 35 | 35 |
| Context window | 20% | 0 | 24 | 24 |
| Overall | 100% | 32/100 | 65/100 | 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 | DeepSeek OCR 2DeepSeek | Granite-4.0-H-MicroIBM | Sarvam 30BSarvam AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.89 | $0.017 (best) | $0.02 |
| Output | $1.47 | $0.112 | $0.10 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $1.03 | $0.041 | $0.04 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 8,192 tokens | 131,072 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes · low · medium · high |
| Tool calling | No | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | — | sarvam-30b |
| API providers | 2 (best) | 1 | 2 (best) |
| Released | Jan 27, 2026 | Oct 2, 2025 | Feb 18, 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.
- DeepSeek OCR 2$11.83
- Granite-4.0-H-Micro$0.394
- Sarvam 30B$0.40
Which should you choose?
Which is better: DeepSeek OCR 2, Granite-4.0-H-Micro or Sarvam 30B?
It is close. Our weighted score puts them within a point (Granite-4.0-H-Micro 65/100, Sarvam 30B 65/100, DeepSeek OCR 2 32/100), 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 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, DeepSeek OCR 2, Granite-4.0-H-Micro or Sarvam 30B?
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); DeepSeek OCR 2 costs $0.89 input / $1.47 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) and $1.03 for DeepSeek OCR 2 (26× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. DeepSeek OCR 2 has not been scored yet, Granite-4.0-H-Micro has not been scored yet and Sarvam 30B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek OCR 2, Granite-4.0-H-Micro and Sarvam 30B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 does not support tool calling, which most coding agents need.
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 8,192 for DeepSeek OCR 2. Maximum output per response: DeepSeek OCR 2 up to 8,192, Granite-4.0-H-Micro up to 131,072, Sarvam 30B up to 128,000 tokens.
Which can read images, PDFs, audio or video?
DeepSeek OCR 2 accepts text and images; Granite-4.0-H-Micro accepts text; Sarvam 30B accepts text. DeepSeek OCR 2 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Sarvam 30B is the newest, released Feb 18, 2026. DeepSeek OCR 2 came out Jan 27, 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.
