Voxtral Mini 3B 2507 vs MiniMax-M2.5-highspeed vs Granite-4.0-H-Micro
Granite-4.0-H-Micro comes out ahead, 65 to 61 and 41 on our weighted score.
Mistral AIVoxtral Mini 3B 2507
61/100- ECI—
- Price$0.04 / $0.04
- Context33K
MiniMaxMiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
- Our pick
IBMGranite-4.0-H-Micro
65/100- ECI—
- Price$0.017 / $0.112
- Context131K
Granite-4.0-H-Micro is our pick
Granite-4.0-H-Micro is the better all-round choice, scoring 65/100 against Voxtral Mini 3B 2507 (61) and MiniMax-M2.5-highspeed (41). MiniMax-M2.5-highspeed wins on context window. 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 priceVoxtral Mini 3B 2507Voxtral Mini 3B 2507 $0.04 · Granite-4.0-H-Micro $0.041 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M2.5-highspeedMiniMax-M2.5-highspeed 204,800 · Granite-4.0-H-Micro 131,072 · Voxtral Mini 3B 2507 32,768 tokens
- Widest inputsVoxtral Mini 3B 2507Voxtral Mini 3B 2507: Text, Audio · MiniMax-M2.5-highspeed: Text · 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 | MiniMax-M2.5-highspeed | Granite-4.0-H-Micro |
|---|---|---|---|---|
| Price | 50% | 100 | 49 | 100 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 0 | 32 | 24 |
| Overall | 100% | 61/100 | 41/100 | 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 | Voxtral Mini 3B 2507Mistral AI | MiniMax-M2.5-highspeedMiniMax | Granite-4.0-H-MicroIBM |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.04 | $0.60 | $0.017 (best) |
| Output | $0.04 (best) | $2.40 | $0.112 |
| Cached input | — | $0.06 | — |
| Blended (3:1) | $0.04 (best) | $1.05 | $0.041 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official MiniMax (minimax.io) API | Median of 1 providers |
| Limits | |||
| Context window | 32,768 tokens | 204,800 tokens (best) | 131,072 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Open | Open |
| API model ID | — | MiniMax-M2.5-highspeed | — |
| API providers | 2 | 7 (best) | 1 |
| Released | Jul 15, 2025 | Feb 13, 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
- MiniMax-M2.5-highspeed$10.80
- Granite-4.0-H-Micro$0.394
Which should you choose?
Which is better: Voxtral Mini 3B 2507, MiniMax-M2.5-highspeed or Granite-4.0-H-Micro?
Granite-4.0-H-Micro is the better all-round choice, scoring 65/100 against Voxtral Mini 3B 2507 (61) and MiniMax-M2.5-highspeed (41). MiniMax-M2.5-highspeed wins on context window. 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, MiniMax-M2.5-highspeed or Granite-4.0-H-Micro?
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); MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). 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) and $1.05 for MiniMax-M2.5-highspeed (26× as much).
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, MiniMax-M2.5-highspeed 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, MiniMax-M2.5-highspeed 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?
MiniMax-M2.5-highspeed has the largest context window at 204,800 tokens, against 131,072 for Granite-4.0-H-Micro and 32,768 for Voxtral Mini 3B 2507. Maximum output per response: Voxtral Mini 3B 2507 up to 32,768, MiniMax-M2.5-highspeed up to 131,072, 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; MiniMax-M2.5-highspeed accepts text; 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?
MiniMax-M2.5-highspeed is the newest, released Feb 13, 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.
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