Gemini 2.5 Computer Use Preview vs Qwen3-Coder 480B-A35B Instruct
Gemini 2.5 Computer Use Preview comes out ahead, 35 to 28 on our weighted score, though Qwen3-Coder 480B-A35B Instruct is 13% cheaper per token.
- Our pick
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
Alibaba (Qwen)Qwen3-Coder 480B-A35B Instruct
28/100- ECI—
- Price$1.50 / $7.50
- Context262K
Add a model
Make it a three-way comparison.
Gemini 2.5 Computer Use Preview is our pick
Gemini 2.5 Computer Use Preview is the better all-round choice, scoring 35/100 against Qwen3-Coder 480B-A35B Instruct (28). It leads on inputs & features. Qwen3-Coder 480B-A35B Instruct wins on price and 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 priceQwen3-Coder 480B-A35B InstructQwen3-Coder 480B-A35B Instruct $3.00 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
- Longest contextQwen3-Coder 480B-A35B InstructQwen3-Coder 480B-A35B Instruct 262,144 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsGemini 2.5 Computer Use PreviewGemini 2.5 Computer Use Preview: Text, Images · Qwen3-Coder 480B-A35B Instruct: Text
- Self-hostingQwen3-Coder 480B-A35B InstructPublishes downloadable weights
| Measure | Weight | Gemini 2.5 Computer Use Preview | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|---|
| Price | 50% | 24 | 27 |
| Inputs & features | 30% | 60 | 25 |
| Context window | 20% | 24 | 37 |
| Overall | 100% | 35/100 | 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 | Gemini 2.5 Computer Use PreviewGoogle | Qwen3-Coder 480B-A35B InstructAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.25 (best) | $1.50 |
| Output | $10.00 | $7.50 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.44 | $3.00 (best) |
| Long-context rate | Over 200K: $2.50 / $15.00 | Over 32K: $2.70 / $13.50 |
| Price source | Official Google API | Official Alibaba API |
| Limits | ||
| Context window | 128,000 tokens | 262,144 tokens (best) |
| Max output | 64,000 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gemini-2.5-computer-use-preview-10-2025 | qwen3-coder-480b-a35b-instruct |
| API providers | 2 | 7 (best) |
| Released | Oct 7, 2025 | Apr 2025 |
| Knowledge cutoff | Jan 2025 | 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.
- Gemini 2.5 Computer Use Preview$32.50
- Qwen3-Coder 480B-A35B Instruct$30.00
Which should you choose?
Which is better: Gemini 2.5 Computer Use Preview or Qwen3-Coder 480B-A35B Instruct?
Gemini 2.5 Computer Use Preview is the better all-round choice, scoring 35/100 against Qwen3-Coder 480B-A35B Instruct (28). It leads on inputs & features. Qwen3-Coder 480B-A35B Instruct wins on price and 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, Gemini 2.5 Computer Use Preview or Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 input / $7.50 output per million tokens (official Alibaba API price). Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Qwen3-Coder 480B-A35B Instruct versus $3.44 for Gemini 2.5 Computer Use Preview (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemini 2.5 Computer Use Preview has not been scored yet and Qwen3-Coder 480B-A35B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Computer Use Preview and Qwen3-Coder 480B-A35B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct has the largest context window at 262,144 tokens, against 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, Qwen3-Coder 480B-A35B Instruct up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Computer Use Preview accepts text and images; Qwen3-Coder 480B-A35B Instruct accepts text. Gemini 2.5 Computer Use Preview handles the widest range of inputs.
Are any of these open source?
Qwen3-Coder 480B-A35B Instruct publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview is proprietary.
Which is newer?
Gemini 2.5 Computer Use Preview is the newest, released Oct 7, 2025. Qwen3-Coder 480B-A35B Instruct came out Apr 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, Qwen3-Coder 480B-A35B Instruct 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 Oct 4, 2026.
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