Qwen3-Next 80B-A3B Instruct vs Pixtral Large (25.02)
Qwen3-Next 80B-A3B Instruct comes out ahead, 39 to 33 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)Qwen3-Next 80B-A3B Instruct
39/100- ECI—
- Price$0.50 / $2.00
- Context131K
Mistral AIPixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
Add a model
Make it a three-way comparison.
Qwen3-Next 80B-A3B Instruct is our pick
Qwen3-Next 80B-A3B Instruct is the better all-round choice, scoring 39/100 against Pixtral Large (25.02) (33). It leads on price. Pixtral Large (25.02) 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-Next 80B-A3B InstructQwen3-Next 80B-A3B Instruct $0.875 · Pixtral Large (25.02) $3.00 per 1M tokens (3:1 blend)
- Longest contextQwen3-Next 80B-A3B InstructQwen3-Next 80B-A3B Instruct 131,072 · Pixtral Large (25.02) 128,000 tokens
- Widest inputsPixtral Large (25.02)Qwen3-Next 80B-A3B Instruct: Text · Pixtral Large (25.02): Text, Images
- Self-hostingQwen3-Next 80B-A3B InstructPublishes downloadable weights
| Measure | Weight | Qwen3-Next 80B-A3B Instruct | Pixtral Large (25.02) |
|---|---|---|---|
| Price | 50% | 53 | 27 |
| Inputs & features | 30% | 25 | 50 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 39/100 | 33/100 |
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 InstructAlibaba (Qwen) | Pixtral Large (25.02)Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.50 (best) | $2.00 |
| Output | $2.00 (best) | $6.00 |
| Cached input | — | — |
| Blended (3:1) | $0.875 (best) | $3.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 3 providers |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 32,768 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | qwen3-next-80b-a3b-instruct | — |
| API providers | 13 (best) | 3 |
| Released | Sep 2025 | Apr 8, 2025 |
| Knowledge cutoff | 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.
- Qwen3-Next 80B-A3B Instruct$9.00
- Pixtral Large (25.02)$32.00
Which should you choose?
Which is better: Qwen3-Next 80B-A3B Instruct or Pixtral Large (25.02)?
Qwen3-Next 80B-A3B Instruct is the better all-round choice, scoring 39/100 against Pixtral Large (25.02) (33). It leads on price. Pixtral Large (25.02) 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-Next 80B-A3B Instruct or Pixtral Large (25.02)?
Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 input / $2.00 output per million tokens (official Alibaba API price). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.875 per million tokens for Qwen3-Next 80B-A3B Instruct versus $3.00 for Pixtral Large (25.02) (3.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3-Next 80B-A3B Instruct has not been scored yet and Pixtral Large (25.02) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-Next 80B-A3B Instruct and Pixtral Large (25.02) 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 Instruct has the largest context window at 131,072 tokens, against 128,000 for Pixtral Large (25.02). Maximum output per response: Qwen3-Next 80B-A3B Instruct up to 32,768, Pixtral Large (25.02) up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Next 80B-A3B Instruct accepts text; Pixtral Large (25.02) accepts text and images. Pixtral Large (25.02) handles the widest range of inputs.
Are any of these open source?
Qwen3-Next 80B-A3B Instruct publishes its weights and can be self-hosted; Pixtral Large (25.02) is proprietary.
Which is newer?
Qwen3-Next 80B-A3B Instruct is the newest, released Sep 2025. Pixtral Large (25.02) came out Apr 8, 2025. Knowledge cutoff: Qwen3-Next 80B-A3B 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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