Palmyra X5 vs Qwen3 235B-A22B Instruct 2507 vs QVQ Max
Qwen3 235B-A22B Instruct 2507 comes out ahead, 52 to 48 and 40 on our weighted score, and it is the cheaper option too.
Writer
Palmyra X5
48/100- ECI—
- Price$0.60 / $6.00
- Context1M
- Our pick
Alibaba (Qwen)Qwen3 235B-A22B Instruct 2507
52/100- ECI138.9
- Price$0.15 / $0.75
- Context262K
- Alibaba (Qwen)
QVQ Max
40/100- ECI—
- Price$1.20 / $4.80
- Context131K
Qwen3 235B-A22B Instruct 2507 is our pick
Qwen3 235B-A22B Instruct 2507 is the better all-round choice, scoring 52/100 against Palmyra X5 (48) and QVQ Max (40). It leads on price. Palmyra X5 wins on context window. 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 235B-A22B Instruct 2507Qwen3 235B-A22B Instruct 2507 $0.30 · Palmyra X5 $1.95 · QVQ Max $2.10 per 1M tokens (3:1 blend)
- Longest contextPalmyra X5Palmyra X5 1,000,000 · Qwen3 235B-A22B Instruct 2507 262,144 · QVQ Max 131,072 tokens
- Widest inputsPalmyra X5 and QVQ MaxPalmyra X5: Text, Images · Qwen3 235B-A22B Instruct 2507: Text · QVQ Max: Text, Images
- Self-hostingQwen3 235B-A22B Instruct 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Palmyra X5 | Qwen3 235B-A22B Instruct 2507 | QVQ Max |
|---|---|---|---|---|
| Price | 50% | 36 | 75 | 35 |
| Inputs & features | 30% | 60 | 25 | 60 |
| Context window | 20% | 60 | 37 | 24 |
| Overall | 100% | 48/100 | 52/100 | 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 235B-A22B Instruct 2507Alibaba (Qwen) | QVQ MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 138.9 | — |
| ECI rank | — | #105 of 148 | — |
| Price per million tokens | |||
| Input | $0.60 | $0.15 (best) | $1.20 |
| Output | $6.00 | $0.75 (best) | $4.80 |
| Cached input | — | — | — |
| Blended (3:1) | $1.95 | $0.30 (best) | $2.10 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 11 providers | Official Alibaba API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 262,144 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 16,384 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 | OpenApache 2.0 | Proprietary |
| API model ID | — | — | qvq-max |
| API providers | 1 | 11 (best) | 1 |
| Released | Apr 28, 2025 | Jul 21, 2025 | Mar 25, 2025 |
| Knowledge cutoff | — | — | 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 235B-A22B Instruct 2507$3.00
- QVQ Max$21.60
Which should you choose?
Which is better: Palmyra X5, Qwen3 235B-A22B Instruct 2507 or QVQ Max?
Qwen3 235B-A22B Instruct 2507 is the better all-round choice, scoring 52/100 against Palmyra X5 (48) and QVQ Max (40). It leads on price. Palmyra X5 wins on context window. 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 235B-A22B Instruct 2507 or QVQ Max?
Qwen3 235B-A22B Instruct 2507 is cheaper at $0.15 input / $0.75 output per million tokens (median across 11 API providers). 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 $0.30 per million tokens for Qwen3 235B-A22B Instruct 2507 versus $1.95 for Palmyra X5 (6.5× as much) and $2.10 for QVQ Max (7× 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 235B-A22B Instruct 2507 has an ECI of 138.9 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 235B-A22B Instruct 2507 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 262,144 for Qwen3 235B-A22B Instruct 2507 and 131,072 for QVQ Max. Maximum output per response: Palmyra X5 up to 8,192, Qwen3 235B-A22B Instruct 2507 up to 16,384, QVQ Max up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Palmyra X5 accepts text and images; Qwen3 235B-A22B Instruct 2507 accepts text; QVQ Max accepts text and images. Palmyra X5 handles the widest range of inputs.
Are any of these open source?
Qwen3 235B-A22B Instruct 2507 publishes its weights (Apache 2.0) and can be self-hosted; Palmyra X5 and QVQ Max is proprietary.
Which is newer?
Qwen3 235B-A22B Instruct 2507 is the newest, released Jul 21, 2025. Palmyra X5 came out Apr 28, 2025; QVQ Max came out Mar 25, 2025. Knowledge cutoff: 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.
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