GPT-5.3 Chat vs Qwen3.5 0.8B vs Qwen3.5 9B Base
Qwen3.5 0.8B comes out ahead, 57 to 40 and 36 on our weighted score.
OpenAIGPT-5.3 Chat
40/100- ECI—
- Price$1.75 / $14.00
- Context128K
- Our pick
Alibaba (Qwen)Qwen3.5 0.8B
57/100- ECI—
- Price—
- Context262K
- Alibaba (Qwen)
Qwen3.5 9B Base
36/100- ECI—
- Price$0.30 / $0.807
- Context262K
Qwen3.5 0.8B is our pick
Qwen3.5 0.8B is the better all-round choice, scoring 57/100 against GPT-5.3 Chat (40) and Qwen3.5 9B Base (36). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 priceQwen3.5 9B BaseQwen3.5 9B Base $0.427 · GPT-5.3 Chat $4.81 per 1M tokens (3:1 blend) · Qwen3.5 0.8B unpriced
- Longest contextQwen3.5 0.8B and Qwen3.5 9B BaseQwen3.5 0.8B 262,144 · Qwen3.5 9B Base 262,144 · GPT-5.3 Chat 128,000 tokens
- Widest inputsQwen3.5 0.8B and Qwen3.5 9B BaseGPT-5.3 Chat: Text, Images · Qwen3.5 0.8B: Text, Images, Video · Qwen3.5 9B Base: Text, Images, Video
- Self-hostingQwen3.5 0.8B and Qwen3.5 9B BasePublishes downloadable weights (Apache-2.0)
| Measure | Weight | GPT-5.3 Chat | Qwen3.5 0.8B | Qwen3.5 9B Base |
|---|---|---|---|---|
| Inputs & features | 60% | 50 | 70 | 35 |
| Context window | 40% | 24 | 37 | 37 |
| Overall | 100% | 40/100 | 57/100 | 36/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.3 ChatOpenAI | Qwen3.5 0.8BAlibaba (Qwen) | Qwen3.5 9B BaseAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.75 | — | $0.30 (best) |
| Output | $14.00 | — | $0.807 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $4.81 | — | $0.427 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 4 providers | — | Median of 1 providers |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 16,384 tokens | 81,920 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenApache-2.0 | OpenApache-2.0 |
| API model ID | — | — | — |
| API providers | 4 (best) | 1 | 1 |
| Released | Mar 3, 2026 | Mar 2, 2026 | Feb 26, 2026 |
| Knowledge cutoff | Aug 31, 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-5.3 Chat$45.50
- Qwen3.5 0.8B—
- Qwen3.5 9B Base$4.61
Which should you choose?
Which is better: GPT-5.3 Chat, Qwen3.5 0.8B or Qwen3.5 9B Base?
Qwen3.5 0.8B is the better all-round choice, scoring 57/100 against GPT-5.3 Chat (40) and Qwen3.5 9B Base (36). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-5.3 Chat, Qwen3.5 0.8B or Qwen3.5 9B Base?
Qwen3.5 9B Base is cheaper at $0.30 input / $0.807 output per million tokens (median across 1 API provider). GPT-5.3 Chat costs $1.75 input / $14.00 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.427 per million tokens for Qwen3.5 9B Base versus $4.81 for GPT-5.3 Chat (11× as much). Qwen3.5 0.8B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5.3 Chat has not been scored yet, Qwen3.5 0.8B has not been scored yet and Qwen3.5 9B Base has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.3 Chat, Qwen3.5 0.8B and Qwen3.5 9B Base yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen3.5 9B Base does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3.5 0.8B and Qwen3.5 9B Base have the largest context windows (262,144 and 262,144 tokens), against 128,000 for GPT-5.3 Chat. Maximum output per response: GPT-5.3 Chat up to 16,384, Qwen3.5 0.8B up to 81,920, Qwen3.5 9B Base up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5.3 Chat accepts text and images; Qwen3.5 0.8B accepts text, images and video; Qwen3.5 9B Base accepts text, images and video. Qwen3.5 0.8B handles the widest range of inputs.
Are any of these open source?
Qwen3.5 0.8B and Qwen3.5 9B Base publishes its weights (Apache-2.0) and can be self-hosted; GPT-5.3 Chat is proprietary.
Which is newer?
GPT-5.3 Chat is the newest, released Mar 3, 2026. Qwen3.5 0.8B came out Mar 2, 2026; Qwen3.5 9B Base came out Feb 26, 2026. Knowledge cutoff: GPT-5.3 Chat Aug 31, 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.
