Qwen3.5 9B Base vs GPT-5.3 Chat
Qwen3.5 9B Base comes out ahead, 50 to 28 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)Qwen3.5 9B Base
50/100- ECI—
- Price$0.30 / $0.807
- Context262K
OpenAIGPT-5.3 Chat
28/100- ECI—
- Price$1.75 / $14.00
- Context128K
Add a model
Make it a three-way comparison.
Qwen3.5 9B Base is our pick
Qwen3.5 9B Base is the better all-round choice, scoring 50/100 against GPT-5.3 Chat (28). It leads on price and context window. GPT-5.3 Chat 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 priceQwen3.5 9B BaseQwen3.5 9B Base $0.427 · GPT-5.3 Chat $4.81 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 9B BaseQwen3.5 9B Base 262,144 · GPT-5.3 Chat 128,000 tokens
- Widest inputsQwen3.5 9B BaseQwen3.5 9B Base: Text, Images, Video · GPT-5.3 Chat: Text, Images
- Self-hostingQwen3.5 9B BasePublishes downloadable weights (Apache-2.0)
| Measure | Weight | Qwen3.5 9B Base | GPT-5.3 Chat |
|---|---|---|---|
| Price | 50% | 65 | 17 |
| Inputs & features | 30% | 35 | 50 |
| Context window | 20% | 37 | 24 |
| Overall | 100% | 50/100 | 28/100 |
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 | Qwen3.5 9B BaseAlibaba (Qwen) | GPT-5.3 ChatOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 (best) | $1.75 |
| Output | $0.807 (best) | $14.00 |
| Cached input | — | — |
| Blended (3:1) | $0.427 (best) | $4.81 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 4 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 128,000 tokens |
| Max output | 65,536 tokens (best) | 16,384 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache-2.0 | Proprietary |
| API model ID | — | — |
| API providers | 1 | 4 (best) |
| Released | Feb 26, 2026 | Mar 3, 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.
- Qwen3.5 9B Base$4.61
- GPT-5.3 Chat$45.50
Which should you choose?
Which is better: Qwen3.5 9B Base or GPT-5.3 Chat?
Qwen3.5 9B Base is the better all-round choice, scoring 50/100 against GPT-5.3 Chat (28). It leads on price and context window. GPT-5.3 Chat 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, Qwen3.5 9B Base or GPT-5.3 Chat?
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).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3.5 9B Base has not been scored yet and GPT-5.3 Chat has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 9B Base and GPT-5.3 Chat 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 9B Base has the largest context window at 262,144 tokens, against 128,000 for GPT-5.3 Chat. Maximum output per response: Qwen3.5 9B Base up to 65,536, GPT-5.3 Chat up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 9B Base accepts text, images and video; GPT-5.3 Chat accepts text and images. Qwen3.5 9B Base handles the widest range of inputs.
Are any of these open source?
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 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.
