Qwen3-Next 80B-A3B (Thinking) vs Gemini 2.5 Computer Use Preview
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.
Alibaba (Qwen)Qwen3-Next 80B-A3B (Thinking)
34/100- ECI—
- Price$0.50 / $6.00
- Context131K
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
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 PreviewQwen3-Next 80B-A3B (Thinking): Text · Gemini 2.5 Computer Use Preview: Text, Images
- Self-hostingQwen3-Next 80B-A3B (Thinking)Publishes downloadable weights
| Measure | Weight | Qwen3-Next 80B-A3B (Thinking) | Gemini 2.5 Computer Use Preview |
|---|---|---|---|
| Price | 50% | 37 | 24 |
| Inputs & features | 30% | 35 | 60 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 34/100 | 35/100 |
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-Next 80B-A3B (Thinking)Alibaba (Qwen) | Gemini 2.5 Computer Use PreviewGoogle |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.50 (best) | $1.25 |
| Output | $6.00 (best) | $10.00 |
| Cached input | — | — |
| Blended (3:1) | $1.88 (best) | $3.44 |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 |
| Price source | Official Alibaba API | Official Google API |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 32,768 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | qwen3-next-80b-a3b-thinking | gemini-2.5-computer-use-preview-10-2025 |
| API providers | 10 (best) | 2 |
| Released | Sep 2025 | Oct 7, 2025 |
| Knowledge cutoff | Apr 2025 | Jan 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-Next 80B-A3B (Thinking)$17.00
- Gemini 2.5 Computer Use Preview$32.50
Which should you choose?
Which is better: Qwen3-Next 80B-A3B (Thinking) or Gemini 2.5 Computer Use Preview?
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, Qwen3-Next 80B-A3B (Thinking) or Gemini 2.5 Computer Use Preview?
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. Qwen3-Next 80B-A3B (Thinking) has not been scored yet and Gemini 2.5 Computer Use Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-Next 80B-A3B (Thinking) and Gemini 2.5 Computer Use Preview 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: Qwen3-Next 80B-A3B (Thinking) up to 32,768, Gemini 2.5 Computer Use Preview up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Next 80B-A3B (Thinking) accepts text; Gemini 2.5 Computer Use Preview accepts text and images. 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: Qwen3-Next 80B-A3B (Thinking) Apr 2025, Gemini 2.5 Computer Use Preview Jan 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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