Gemini 2.5 Computer Use Preview vs Qwen3-Next 80B-A3B (Thinking)
Too close to call on our weighted score (Gemini 2.5 Computer Use Preview 35, Qwen3-Next 80B-A3B (Thinking) 34). The right pick depends on what you value most.
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
Alibaba (Qwen)Qwen3-Next 80B-A3B (Thinking)
34/100- ECI—
- Price$0.50 / $6.00
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (Gemini 2.5 Computer Use Preview 35/100, Qwen3-Next 80B-A3B (Thinking) 34/100), so choose by what matters most for your work: Qwen3-Next 80B-A3B (Thinking) on price and Qwen3-Next 80B-A3B (Thinking) 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-Next 80B-A3B (Thinking)Qwen3-Next 80B-A3B (Thinking) $1.88 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
- Longest contextQwen3-Next 80B-A3B (Thinking)Qwen3-Next 80B-A3B (Thinking) 131,072 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsGemini 2.5 Computer Use PreviewGemini 2.5 Computer Use Preview: Text, Images · Qwen3-Next 80B-A3B (Thinking): Text
- Self-hostingQwen3-Next 80B-A3B (Thinking)Publishes downloadable weights
| Measure | Weight | Gemini 2.5 Computer Use Preview | Qwen3-Next 80B-A3B (Thinking) |
|---|---|---|---|
| Price | 50% | 24 | 37 |
| Inputs & features | 30% | 60 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 35/100 | 34/100 |
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-Next 80B-A3B (Thinking)Alibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.25 | $0.50 (best) |
| Output | $10.00 | $6.00 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.44 | $1.88 (best) |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate |
| Price source | Official Google API | Official Alibaba API |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 64,000 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gemini-2.5-computer-use-preview-10-2025 | qwen3-next-80b-a3b-thinking |
| API providers | 2 | 10 (best) |
| Released | Oct 7, 2025 | Sep 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-Next 80B-A3B (Thinking)$17.00
Which should you choose?
Which is better: Gemini 2.5 Computer Use Preview or Qwen3-Next 80B-A3B (Thinking)?
It is close. Our weighted score puts them within 1 points (Gemini 2.5 Computer Use Preview 35/100, Qwen3-Next 80B-A3B (Thinking) 34/100), so choose by what matters most for your work: Qwen3-Next 80B-A3B (Thinking) on price and Qwen3-Next 80B-A3B (Thinking) 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, Gemini 2.5 Computer Use Preview or Qwen3-Next 80B-A3B (Thinking)?
Qwen3-Next 80B-A3B (Thinking) is cheaper at $0.50 input / $6.00 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 $1.88 per million tokens for Qwen3-Next 80B-A3B (Thinking) versus $3.44 for Gemini 2.5 Computer Use Preview (1.8× 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-Next 80B-A3B (Thinking) 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-Next 80B-A3B (Thinking) 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-Next 80B-A3B (Thinking) has the largest context window at 131,072 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-Next 80B-A3B (Thinking) up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Computer Use Preview accepts text and images; Qwen3-Next 80B-A3B (Thinking) accepts text. Gemini 2.5 Computer Use Preview handles the widest range of inputs.
Are any of these open source?
Qwen3-Next 80B-A3B (Thinking) 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-Next 80B-A3B (Thinking) came out Sep 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, Qwen3-Next 80B-A3B (Thinking) 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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