Palmyra X5 vs Qwen3-Next 80B-A3B Instruct vs QVQ Max
Palmyra X5 comes out ahead, 48 to 40 and 39 on our weighted score, though Qwen3-Next 80B-A3B Instruct is 2.2× cheaper per token.
- Our pick
Writer
Palmyra X5
48/100- ECI—
- Price$0.60 / $6.00
- Context1M
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
Palmyra X5 is our pick
Palmyra X5 is the better all-round choice, scoring 48/100 against QVQ Max (40) and Qwen3-Next 80B-A3B Instruct (39). It leads on context window. Qwen3-Next 80B-A3B Instruct 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 InstructQwen3-Next 80B-A3B Instruct $0.875 · Palmyra X5 $1.95 · QVQ Max $2.10 per 1M tokens (3:1 blend)
- Longest contextPalmyra X5Palmyra X5 1,000,000 · Qwen3-Next 80B-A3B Instruct 131,072 · QVQ Max 131,072 tokens
- Widest inputsPalmyra X5 and QVQ MaxPalmyra X5: Text, Images · Qwen3-Next 80B-A3B Instruct: Text · QVQ Max: Text, Images
- Self-hostingQwen3-Next 80B-A3B InstructPublishes downloadable weights
| Measure | Weight | Palmyra X5 | Qwen3-Next 80B-A3B Instruct | QVQ Max |
|---|---|---|---|---|
| Price | 50% | 36 | 53 | 35 |
| Inputs & features | 30% | 60 | 25 | 60 |
| Context window | 20% | 60 | 24 | 24 |
| Overall | 100% | 48/100 | 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 | Palmyra X5Writer | Qwen3-Next 80B-A3B InstructAlibaba (Qwen) | QVQ MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.50 (best) | $1.20 |
| Output | $6.00 | $2.00 (best) | $4.80 |
| Cached input | — | — | — |
| Blended (3:1) | $1.95 | $0.875 (best) | $2.10 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Alibaba API | Official Alibaba API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 32,768 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | qwen3-next-80b-a3b-instruct | qvq-max |
| API providers | 1 | 13 (best) | 1 |
| Released | Apr 28, 2025 | 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.
- Palmyra X5$18.00
- Qwen3-Next 80B-A3B Instruct$9.00
- QVQ Max$21.60
Which should you choose?
Which is better: Palmyra X5, Qwen3-Next 80B-A3B Instruct or QVQ Max?
Palmyra X5 is the better all-round choice, scoring 48/100 against QVQ Max (40) and Qwen3-Next 80B-A3B Instruct (39). It leads on context window. Qwen3-Next 80B-A3B Instruct 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, Palmyra X5, 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). Palmyra X5 costs $0.60 input / $6.00 output per million tokens (median across 1 API provider); 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 $1.95 for Palmyra X5 (2.2× as much) and $2.10 for QVQ Max (2.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Palmyra X5 has not been scored 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 Palmyra X5, 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. All three support tool calling for agent workflows.
Which has the bigger context window?
Palmyra X5 has the largest context window at 1,000,000 tokens, against 131,072 for Qwen3-Next 80B-A3B Instruct and 131,072 for QVQ Max. Maximum output per response: Palmyra X5 up to 8,192, Qwen3-Next 80B-A3B Instruct up to 32,768, QVQ Max up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Palmyra X5 accepts text and images; Qwen3-Next 80B-A3B Instruct accepts text; QVQ Max accepts text and images. Palmyra X5 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; Palmyra X5 and QVQ Max is proprietary.
Which is newer?
Qwen3-Next 80B-A3B Instruct is the newest, released Sep 2025. Palmyra X5 came out Apr 28, 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.
