Qwen Flash vs Granite-4.0-H-Micro vs Voxtral Small 24B 2507
Too close to call on our weighted score (Qwen Flash 68, Granite-4.0-H-Micro 65, Voxtral Small 24B 2507 55). The right pick depends on what you value most.
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
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
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 Small 24B 2507 55/100), so choose by what matters most for your work: Granite-4.0-H-Micro 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 priceGranite-4.0-H-MicroGranite-4.0-H-Micro $0.041 · Qwen Flash $0.138 · Voxtral Small 24B 2507 $0.15 per 1M tokens (3:1 blend)
- Longest contextQwen FlashQwen Flash 1,000,000 · Granite-4.0-H-Micro 131,072 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Qwen Flash: Text · Granite-4.0-H-Micro: Text · Voxtral Small 24B 2507: Text, Audio
- Self-hostingGranite-4.0-H-Micro and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Qwen Flash | Granite-4.0-H-Micro | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Price | 50% | 91 | 100 | 89 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 60 | 24 | 0 |
| Overall | 100% | 68/100 | 65/100 | 55/100 |
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 | Qwen FlashAlibaba (Qwen) | Granite-4.0-H-MicroIBM | Voxtral Small 24B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.05 | $0.017 (best) | $0.10 |
| Output | $0.40 | $0.112 (best) | $0.30 |
| Cached input | — | — | — |
| Blended (3:1) | $0.138 | $0.041 (best) | $0.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 1 providers | Official Mistral API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 131,072 tokens | 32,768 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | OpenApache 2.0 |
| API model ID | qwen-flash | — | voxtral-small-latest |
| API providers | 6 | 1 | 7 (best) |
| Released | Jul 28, 2025 | Oct 2, 2025 | Jul 15, 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.
- Qwen Flash$1.30
- Granite-4.0-H-Micro$0.394
- Voxtral Small 24B 2507$1.60
Which should you choose?
Which is better: Qwen Flash, Granite-4.0-H-Micro or Voxtral Small 24B 2507?
It is close. Our weighted score puts them within 2 points (Qwen Flash 68/100, Granite-4.0-H-Micro 65/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Granite-4.0-H-Micro 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, Qwen Flash, Granite-4.0-H-Micro or Voxtral Small 24B 2507?
Granite-4.0-H-Micro is cheaper at $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); Voxtral Small 24B 2507 costs $0.10 input / $0.30 output per million tokens (official Mistral 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 $0.138 for Qwen Flash (3.4× as much) and $0.15 for Voxtral Small 24B 2507 (3.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen Flash has not been scored yet, Granite-4.0-H-Micro has not been scored yet and Voxtral Small 24B 2507 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen Flash, Granite-4.0-H-Micro and Voxtral Small 24B 2507 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 Small 24B 2507. Maximum output per response: Qwen Flash up to 32,768, Granite-4.0-H-Micro up to 131,072, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen Flash accepts text; Granite-4.0-H-Micro accepts text; Voxtral Small 24B 2507 accepts text and audio. Voxtral Small 24B 2507 handles the widest range of inputs.
Are any of these open source?
Granite-4.0-H-Micro and Voxtral Small 24B 2507 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 Small 24B 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.
