GPT-5 Chat vs Qwen MT Plus vs Voxtral Small 24B 2507
Voxtral Small 24B 2507 comes out ahead, 55 to 31 and 11 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5 Chat
31/100- ECI—
- Price$1.25 / $10.00
- Context400K
Alibaba (Qwen)Qwen MT Plus
11/100- ECI—
- Price$2.46 / $7.37
- Context16K
- Our pick
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
Voxtral Small 24B 2507 is our pick
Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against GPT-5 Chat (31) and Qwen MT Plus (11). It leads on price and inputs & features. GPT-5 Chat 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 Small 24B 2507Voxtral Small 24B 2507 $0.175 · GPT-5 Chat $3.44 · Qwen MT Plus $3.69 per 1M tokens (3:1 blend)
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Voxtral Small 24B 2507 32,768 · Qwen MT Plus 16,384 tokens
- Widest inputsGPT-5 Chat and Voxtral Small 24B 2507GPT-5 Chat: Text, Images · Qwen MT Plus: Text · Voxtral Small 24B 2507: Text, Audio
- Self-hostingVoxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | GPT-5 Chat | Qwen MT Plus | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Price | 50% | 23 | 22 | 82 |
| Inputs & features | 30% | 35 | 0 | 45 |
| Context window | 20% | 44 | 0 | 0 |
| Overall | 100% | 31/100 | 11/100 | 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 | GPT-5 ChatOpenAI | Qwen MT PlusAlibaba (Qwen) | Voxtral Small 24B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $2.46 | $0.10 (best) |
| Output | $10.00 | $7.37 | $0.40 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $3.69 | $0.175 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 5 providers | Official Alibaba API | Official Mistral API |
| Limits | |||
| Context window | 400,000 tokens (best) | 16,384 tokens | 32,768 tokens |
| Max output | 128,000 tokens (best) | 8,192 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | No | No | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | OpenApache 2.0 |
| API model ID | — | qwen-mt-plus | voxtral-small-latest |
| API providers | 5 | 3 | 10 (best) |
| Released | Aug 7, 2025 | Jul 24, 2025 | Jul 15, 2025 |
| Knowledge cutoff | Sep 30, 2024 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5 Chat$32.50
- Qwen MT Plus$39.34
- Voxtral Small 24B 2507$1.80
Which should you choose?
Which is better: GPT-5 Chat, Qwen MT Plus or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against GPT-5 Chat (31) and Qwen MT Plus (11). It leads on price and inputs & features. GPT-5 Chat 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, GPT-5 Chat, Qwen MT Plus or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.40 output per million tokens (official Mistral API price). GPT-5 Chat costs $1.25 input / $10.00 output per million tokens (median across 5 API providers); Qwen MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Voxtral Small 24B 2507 versus $3.44 for GPT-5 Chat (20× as much) and $3.69 for Qwen MT Plus (21× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5 Chat has not been scored yet, Qwen MT Plus 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 GPT-5 Chat, Qwen MT Plus and Voxtral Small 24B 2507 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that GPT-5 Chat and Qwen MT Plus does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-5 Chat has the largest context window at 400,000 tokens, against 32,768 for Voxtral Small 24B 2507 and 16,384 for Qwen MT Plus. Maximum output per response: GPT-5 Chat up to 128,000, Qwen MT Plus up to 8,192, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Chat accepts text and images; Qwen MT Plus accepts text; Voxtral Small 24B 2507 accepts text and audio. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; GPT-5 Chat and Qwen MT Plus is proprietary.
Which is newer?
GPT-5 Chat is the newest, released Aug 7, 2025. Qwen MT Plus came out Jul 24, 2025; Voxtral Small 24B 2507 came out Jul 15, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 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 Nov 2, 2026.
