GPT-5 Chat vs Qwen MT Plus vs Qwen3 Max Preview
Too close to call on our weighted score (Qwen3 Max Preview 33, GPT-5 Chat 31, Qwen MT Plus 11). The right pick depends on what you value most.
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
- Alibaba (Qwen)
Qwen3 Max Preview
33/100- ECI—
- Price$0.975 / $4.14
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3 Max Preview 33/100, GPT-5 Chat 31/100, Qwen MT Plus 11/100), so choose by what matters most for your work: Qwen3 Max Preview on price and GPT-5 Chat 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 priceQwen3 Max PreviewQwen3 Max Preview $1.77 · GPT-5 Chat $3.44 · Qwen MT Plus $3.69 per 1M tokens (3:1 blend)
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Qwen3 Max Preview 262,144 · Qwen MT Plus 16,384 tokens
- Widest inputsGPT-5 ChatGPT-5 Chat: Text, Images · Qwen MT Plus: Text · Qwen3 Max Preview: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5 Chat | Qwen MT Plus | Qwen3 Max Preview |
|---|---|---|---|---|
| Price | 50% | 23 | 22 | 37 |
| Inputs & features | 30% | 35 | 0 | 25 |
| Context window | 20% | 44 | 0 | 37 |
| Overall | 100% | 31/100 | 11/100 | 33/100 |
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) | Qwen3 Max PreviewAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $2.46 | $0.975 (best) |
| Output | $10.00 | $7.37 | $4.14 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $3.69 | $1.77 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 5 providers | Official Alibaba API | Median of 2 providers |
| Limits | |||
| Context window | 400,000 tokens (best) | 16,384 tokens | 262,144 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 | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | No | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | qwen-mt-plus | — |
| API providers | 5 (best) | 3 | 2 |
| Released | Aug 7, 2025 | Jul 24, 2025 | Sep 5, 2025 |
| Knowledge cutoff | Sep 30, 2024 | — | Apr 2025 |
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
- Qwen3 Max Preview$18.03
Which should you choose?
Which is better: GPT-5 Chat, Qwen MT Plus or Qwen3 Max Preview?
It is close. Our weighted score puts them within 2 points (Qwen3 Max Preview 33/100, GPT-5 Chat 31/100, Qwen MT Plus 11/100), so choose by what matters most for your work: Qwen3 Max Preview on price and GPT-5 Chat 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, GPT-5 Chat, Qwen MT Plus or Qwen3 Max Preview?
Qwen3 Max Preview is cheaper at $0.975 input / $4.14 output per million tokens (median across 2 API providers). 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 $1.77 per million tokens for Qwen3 Max Preview versus $3.44 for GPT-5 Chat (1.9× as much) and $3.69 for Qwen MT Plus (2.1× 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 Qwen3 Max Preview 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 Qwen3 Max Preview 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 262,144 for Qwen3 Max Preview 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, Qwen3 Max Preview 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; Qwen3 Max Preview accepts text. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
No. GPT-5 Chat, Qwen MT Plus and Qwen3 Max Preview are proprietary and only available through APIs and apps.
Which is newer?
Qwen3 Max Preview is the newest, released Sep 5, 2025. GPT-5 Chat came out Aug 7, 2025; Qwen MT Plus came out Jul 24, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024, Qwen3 Max Preview Apr 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 Nov 2, 2026.
