Command R7B Arabic vs Granite-4.0-H-Micro vs Nova Micro
Granite-4.0-H-Micro comes out ahead, 65 to 62 and 62 on our weighted score, and it is the cheaper option too.
CohereCommand R7B Arabic
62/100- ECI—
- Price$0.037 / $0.15
- Context128K
- Our pick
IBMGranite-4.0-H-Micro
65/100- ECI—
- Price$0.017 / $0.112
- Context131K
AmazonNova Micro
62/100- ECI—
- Price$0.035 / $0.14
- Context128K
Granite-4.0-H-Micro is our pick
Granite-4.0-H-Micro is the better all-round choice, scoring 65/100 against Command R7B Arabic (62) and Nova Micro (62). It leads on inputs & features. 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 priceGranite-4.0-H-MicroGranite-4.0-H-Micro $0.041 · Nova Micro $0.061 · Command R7B Arabic $0.066 per 1M tokens (3:1 blend)
- Longest contextGranite-4.0-H-MicroGranite-4.0-H-Micro 131,072 · Command R7B Arabic 128,000 · Nova Micro 128,000 tokens
- Widest inputsSame inputsCommand R7B Arabic: Text · Granite-4.0-H-Micro: Text · Nova Micro: Text
- Self-hostingCommand R7B Arabic and Granite-4.0-H-MicroPublishes downloadable weights
| Measure | Weight | Command R7B Arabic | Granite-4.0-H-Micro | Nova Micro |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 25 | 35 | 25 |
| Context window | 20% | 24 | 24 | 24 |
| Overall | 100% | 62/100 | 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 | Command R7B ArabicCohere | Granite-4.0-H-MicroIBM | Nova MicroAmazon |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.037 | $0.017 (best) | $0.035 |
| Output | $0.15 | $0.112 (best) | $0.14 |
| Cached input | — | — | $0.0088 |
| Blended (3:1) | $0.066 | $0.041 (best) | $0.061 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 1 providers | Official Amazon Bedrock API |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| Max output | 4,000 tokens | 131,072 tokens (best) | 10,000 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 | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | command-r7b-arabic-02-2025 | — | amazon.nova-micro-v1:0 |
| API providers | 1 | 1 | 3 (best) |
| Released | Feb 27, 2025 | Oct 2, 2025 | Dec 3, 2024 |
| Knowledge cutoff | Jun 1, 2024 | — | Oct 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command R7B Arabic$0.675
- Granite-4.0-H-Micro$0.394
- Nova Micro$0.63
Which should you choose?
Which is better: Command R7B Arabic, Granite-4.0-H-Micro or Nova Micro?
Granite-4.0-H-Micro is the better all-round choice, scoring 65/100 against Command R7B Arabic (62) and Nova Micro (62). It leads on inputs & features. 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, Command R7B Arabic, Granite-4.0-H-Micro or Nova Micro?
Granite-4.0-H-Micro is cheaper at $0.017 input / $0.112 output per million tokens (median across 1 API provider). Nova Micro costs $0.035 input / $0.14 output per million tokens (official Amazon Bedrock API price); Command R7B Arabic costs $0.037 input / $0.15 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.041 per million tokens for Granite-4.0-H-Micro versus $0.061 for Nova Micro (1.5× as much) and $0.066 for Command R7B Arabic (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command R7B Arabic has not been scored yet, Granite-4.0-H-Micro has not been scored yet and Nova Micro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R7B Arabic, Granite-4.0-H-Micro and Nova 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 Command R7B Arabic and 128,000 for Nova Micro. Maximum output per response: Command R7B Arabic up to 4,000, Granite-4.0-H-Micro up to 131,072, Nova Micro up to 10,000 tokens.
Which can read images, PDFs, audio or video?
Command R7B Arabic accepts text; Granite-4.0-H-Micro accepts text; Nova Micro accepts text. They handle the same number of input types.
Are any of these open source?
Command R7B Arabic and Granite-4.0-H-Micro publishes its weights and can be self-hosted; Nova Micro is proprietary.
Which is newer?
Granite-4.0-H-Micro is the newest, released Oct 2, 2025. Command R7B Arabic came out Feb 27, 2025; Nova Micro came out Dec 3, 2024. Knowledge cutoff: Command R7B Arabic Jun 1, 2024, Nova Micro Oct 2024.
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.
