GPT-5 Chat vs o3-deep-research vs Qwen MT Plus
GPT-5 Chat comes out ahead, 31 to 24 and 11 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIGPT-5 Chat
31/100- ECI—
- Price$1.25 / $10.00
- Context400K
- OpenAI
o3-deep-research
24/100- ECI—
- Price$9.00 / $36.00
- Context200K
Alibaba (Qwen)Qwen MT Plus
11/100- ECI—
- Price$2.46 / $7.37
- Context16K
GPT-5 Chat is our pick
GPT-5 Chat is the better all-round choice, scoring 31/100 against o3-deep-research (24) and Qwen MT Plus (11). It leads on context window. o3-deep-research wins on inputs & features. 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 priceGPT-5 ChatGPT-5 Chat $3.44 · Qwen MT Plus $3.69 · o3-deep-research $15.75 per 1M tokens (3:1 blend)
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · o3-deep-research 200,000 · Qwen MT Plus 16,384 tokens
- Widest inputsGPT-5 Chat and o3-deep-researchGPT-5 Chat: Text, Images · o3-deep-research: Text, Images · Qwen MT Plus: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5 Chat | o3-deep-research | Qwen MT Plus |
|---|---|---|---|---|
| Price | 50% | 23 | 0 | 22 |
| Inputs & features | 30% | 35 | 60 | 0 |
| Context window | 20% | 44 | 32 | 0 |
| Overall | 100% | 31/100 | 24/100 | 11/100 |
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 | o3-deep-researchOpenAI | Qwen MT PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 (best) | $9.00 | $2.46 |
| Output | $10.00 | $36.00 | $7.37 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 (best) | $15.75 | $3.69 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 5 providers | Median of 1 providers | Official Alibaba API |
| Limits | |||
| Context window | 400,000 tokens (best) | 200,000 tokens | 16,384 tokens |
| Max output | 128,000 tokens (best) | 100,000 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | No | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | — | qwen-mt-plus |
| API providers | 5 (best) | 1 | 3 |
| Released | Aug 7, 2025 | Jun 26, 2025 | Jul 24, 2025 |
| Knowledge cutoff | Sep 30, 2024 | May 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
- o3-deep-research$162.00
- Qwen MT Plus$39.34
Which should you choose?
Which is better: GPT-5 Chat, o3-deep-research or Qwen MT Plus?
GPT-5 Chat is the better all-round choice, scoring 31/100 against o3-deep-research (24) and Qwen MT Plus (11). It leads on context window. o3-deep-research wins on inputs & features. 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, o3-deep-research or Qwen MT Plus?
GPT-5 Chat is cheaper at $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); o3-deep-research costs $9.00 input / $36.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5 Chat versus $3.69 for Qwen MT Plus (1.1× as much) and $15.75 for o3-deep-research (4.6× 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, o3-deep-research has not been scored yet and Qwen MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5 Chat, o3-deep-research and Qwen MT Plus 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 200,000 for o3-deep-research and 16,384 for Qwen MT Plus. Maximum output per response: GPT-5 Chat up to 128,000, o3-deep-research up to 100,000, Qwen MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Chat accepts text and images; o3-deep-research accepts text and images; Qwen MT Plus accepts text. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
No. GPT-5 Chat, o3-deep-research and Qwen MT Plus are proprietary and only available through APIs and apps.
Which is newer?
GPT-5 Chat is the newest, released Aug 7, 2025. Qwen MT Plus came out Jul 24, 2025; o3-deep-research came out Jun 26, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024, o3-deep-research May 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.
