Qwen3-Next 80B-A3B Instruct vs QVQ Max
Too close to call on our weighted score (QVQ Max 40, Qwen3-Next 80B-A3B Instruct 39). The right pick depends on what you value most.
Alibaba (Qwen)
Qwen3-Next 80B-A3B Instruct
39/100- ECI—
- Price$0.50 / $2.00
- Context131K
Alibaba (Qwen)
QVQ Max
40/100- ECI—
- Price$1.20 / $4.80
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (QVQ Max 40/100, Qwen3-Next 80B-A3B Instruct 39/100), so choose by what matters most for your work: Qwen3-Next 80B-A3B Instruct on price. 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 · QVQ Max $2.10 per 1M tokens (3:1 blend)
- Longest contextAbout the sameQwen3-Next 80B-A3B Instruct 131,072 · QVQ Max 131,072 tokens
- Widest inputsQVQ MaxQwen3-Next 80B-A3B Instruct: Text · QVQ Max: Text, Images
- Self-hostingQwen3-Next 80B-A3B InstructPublishes downloadable weights
| Measure | Weight | Qwen3-Next 80B-A3B Instruct | QVQ Max |
|---|---|---|---|
| Price | 50% | 53 | 35 |
| Inputs & features | 30% | 25 | 60 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 39/100 | 40/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.50 (best) | $1.20 |
| Output | $2.00 (best) | $4.80 |
| Cached input | — | — |
| Blended (3:1) | $0.875 (best) | $2.10 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Alibaba API |
| Limits | ||
| Context window | 131,072 tokens | 131,072 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 | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | qwen3-next-80b-a3b-instruct | qvq-max |
| API providers | 13 (best) | 1 |
| Released | Sep 2025 | Mar 25, 2025 |
| Knowledge cutoff | Apr 2025 | Apr 2024 |
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
QVQ Max$21.60
Which should you choose?
Which is better: Qwen3-Next 80B-A3B Instruct or QVQ Max?
It is close. Our weighted score puts them within 2 points (QVQ Max 40/100, Qwen3-Next 80B-A3B Instruct 39/100), so choose by what matters most for your work: Qwen3-Next 80B-A3B Instruct on price. 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 QVQ Max?
Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 input / $2.00 output per million tokens (official Alibaba API price). QVQ Max costs $1.20 input / $4.80 output per million tokens (official Alibaba API price). 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 $2.10 for QVQ Max (2.4× 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 QVQ Max 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 QVQ Max 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 and QVQ Max share the same 131,072-token context window. Maximum output per response: Qwen3-Next 80B-A3B Instruct up to 32,768, QVQ Max up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Next 80B-A3B Instruct accepts text; QVQ Max accepts text and images. QVQ Max 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; QVQ Max is proprietary.
Which is newer?
Qwen3-Next 80B-A3B Instruct is the newest, released Sep 2025. QVQ Max came out Mar 25, 2025. Knowledge cutoff: Qwen3-Next 80B-A3B Instruct Apr 2025, QVQ Max Apr 2024.
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.