Voxtral Mini 3B 2507 vs Qwen Flash vs Granite-4.0-H-Micro
Too close to call on our weighted score (Qwen Flash 68, Granite-4.0-H-Micro 65, Voxtral Mini 3B 2507 61). The right pick depends on what you value most.
Mistral AIVoxtral Mini 3B 2507
61/100- ECI—
- Price$0.04 / $0.04
- Context33K
Alibaba (Qwen)Qwen Flash
68/100- ECI—
- Price$0.05 / $0.40
- Context1M
IBMGranite-4.0-H-Micro
65/100- ECI—
- Price$0.017 / $0.112
- Context131K
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen Flash 68/100, Granite-4.0-H-Micro 65/100, Voxtral Mini 3B 2507 61/100), so choose by what matters most for your work: Voxtral Mini 3B 2507 on price and Qwen Flash 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 priceVoxtral Mini 3B 2507Voxtral Mini 3B 2507 $0.04 · Granite-4.0-H-Micro $0.041 · Qwen Flash $0.138 per 1M tokens (3:1 blend)
- Longest contextQwen FlashQwen Flash 1,000,000 · Granite-4.0-H-Micro 131,072 · Voxtral Mini 3B 2507 32,768 tokens
- Widest inputsVoxtral Mini 3B 2507Voxtral Mini 3B 2507: Text, Audio · Qwen Flash: Text · Granite-4.0-H-Micro: Text
- Self-hostingVoxtral Mini 3B 2507 and Granite-4.0-H-MicroPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Voxtral Mini 3B 2507 | Qwen Flash | Granite-4.0-H-Micro |
|---|---|---|---|---|
| Price | 50% | 100 | 91 | 100 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 0 | 60 | 24 |
| Overall | 100% | 61/100 | 68/100 | 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 | Qwen FlashAlibaba (Qwen) | Granite-4.0-H-MicroIBM |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.04 | $0.05 | $0.017 (best) |
| Output | $0.04 (best) | $0.40 | $0.112 |
| Cached input | — | — | — |
| Blended (3:1) | $0.04 (best) | $0.138 | $0.041 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Alibaba API | Median of 1 providers |
| Limits | |||
| Context window | 32,768 tokens | 1,000,000 tokens (best) | 131,072 tokens |
| Max output | 32,768 tokens | 32,768 tokens | 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 | Proprietary | Open |
| API model ID | — | qwen-flash | — |
| API providers | 2 | 6 (best) | 1 |
| Released | Jul 15, 2025 | Jul 28, 2025 | Oct 2, 2025 |
| Knowledge cutoff | — | Apr 2024 | — |
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
- Qwen Flash$1.30
- Granite-4.0-H-Micro$0.394
Which should you choose?
Which is better: Voxtral Mini 3B 2507, Qwen Flash or Granite-4.0-H-Micro?
It is close. Our weighted score puts them within 2 points (Qwen Flash 68/100, Granite-4.0-H-Micro 65/100, Voxtral Mini 3B 2507 61/100), so choose by what matters most for your work: Voxtral Mini 3B 2507 on price and Qwen Flash 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, Voxtral Mini 3B 2507, Qwen Flash 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); Qwen Flash costs $0.05 input / $0.40 output per million tokens (official Alibaba 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 $0.138 for Qwen Flash (3.4× 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, Qwen Flash 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, Qwen Flash 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?
Qwen Flash has the largest context window at 1,000,000 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, Qwen Flash up to 32,768, 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; Qwen Flash 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?
Voxtral Mini 3B 2507 and Granite-4.0-H-Micro publishes its weights (Apache 2.0) and can be self-hosted; Qwen Flash is proprietary.
Which is newer?
Granite-4.0-H-Micro is the newest, released Oct 2, 2025. Qwen Flash came out Jul 28, 2025; Voxtral Mini 3B 2507 came out Jul 15, 2025. Knowledge cutoff: Qwen Flash Apr 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.
