QVQ Max vs Qwen3-Next 80B-A3B (Thinking)
QVQ Max comes out ahead, 40 to 34 on our weighted score, though Qwen3-Next 80B-A3B (Thinking) is 11% cheaper per token.
- Our pick
Alibaba (Qwen)QVQ Max
40/100- ECI—
- Price$1.20 / $4.80
- Context131K
- 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.
QVQ Max is our pick
QVQ Max is the better all-round choice, scoring 40/100 against Qwen3-Next 80B-A3B (Thinking) (34). It leads on inputs & features. Qwen3-Next 80B-A3B (Thinking) wins 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 (Thinking)Qwen3-Next 80B-A3B (Thinking) $1.88 · QVQ Max $2.10 per 1M tokens (3:1 blend)
- Longest contextAbout the sameQVQ Max 131,072 · Qwen3-Next 80B-A3B (Thinking) 131,072 tokens
- Widest inputsQVQ MaxQVQ Max: Text, Images · Qwen3-Next 80B-A3B (Thinking): Text
- Self-hostingQwen3-Next 80B-A3B (Thinking)Publishes downloadable weights
| Measure | Weight | QVQ Max | Qwen3-Next 80B-A3B (Thinking) |
|---|---|---|---|
| Price | 50% | 35 | 37 |
| Inputs & features | 30% | 60 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 40/100 | 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 | QVQ MaxAlibaba (Qwen) | Qwen3-Next 80B-A3B (Thinking)Alibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.20 | $0.50 (best) |
| Output | $4.80 (best) | $6.00 |
| Cached input | — | — |
| Blended (3:1) | $2.10 | $1.88 (best) |
| 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 | 8,192 tokens | 32,768 tokens (best) |
| 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 | qvq-max | qwen3-next-80b-a3b-thinking |
| API providers | 1 | 10 (best) |
| Released | Mar 25, 2025 | Sep 2025 |
| Knowledge cutoff | Apr 2024 | 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.
- QVQ Max$21.60
- Qwen3-Next 80B-A3B (Thinking)$17.00
Which should you choose?
Which is better: QVQ Max or Qwen3-Next 80B-A3B (Thinking)?
QVQ Max is the better all-round choice, scoring 40/100 against Qwen3-Next 80B-A3B (Thinking) (34). It leads on inputs & features. Qwen3-Next 80B-A3B (Thinking) wins 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, QVQ Max 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). 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 $1.88 per million tokens for Qwen3-Next 80B-A3B (Thinking) versus $2.10 for QVQ Max (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. QVQ Max 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 QVQ Max 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?
QVQ Max and Qwen3-Next 80B-A3B (Thinking) share the same 131,072-token context window. Maximum output per response: QVQ Max up to 8,192, Qwen3-Next 80B-A3B (Thinking) up to 32,768 tokens.
Which can read images, PDFs, audio or video?
QVQ Max accepts text and images; Qwen3-Next 80B-A3B (Thinking) accepts text. QVQ Max 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; QVQ Max is proprietary.
Which is newer?
Qwen3-Next 80B-A3B (Thinking) is the newest, released Sep 2025. QVQ Max came out Mar 25, 2025. Knowledge cutoff: QVQ Max Apr 2024, 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.
