QVQ Max vs GPT-5 Chat vs Palmyra X5
Palmyra X5 comes out ahead, 48 to 40 and 34 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)QVQ Max
40/100- ECI—
- Price$1.20 / $4.80
- Context131K
OpenAIGPT-5 Chat
34/100- ECI—
- Price$1.25 / $10.00
- Context400K
- Our pick
Writer
Palmyra X5
48/100- ECI—
- Price$0.60 / $6.00
- Context1M
Palmyra X5 is our pick
Palmyra X5 is the better all-round choice, scoring 48/100 against QVQ Max (40) and GPT-5 Chat (34). It leads 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 pricePalmyra X5Palmyra X5 $1.95 · QVQ Max $2.10 · GPT-5 Chat $3.44 per 1M tokens (3:1 blend)
- Longest contextPalmyra X5Palmyra X5 1,000,000 · GPT-5 Chat 400,000 · QVQ Max 131,072 tokens
- Widest inputsSame inputsQVQ Max: Text, Images · GPT-5 Chat: Text, Images · Palmyra X5: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | QVQ Max | GPT-5 Chat | Palmyra X5 |
|---|---|---|---|---|
| Price | 50% | 35 | 24 | 36 |
| Inputs & features | 30% | 60 | 45 | 60 |
| Context window | 20% | 24 | 44 | 60 |
| Overall | 100% | 40/100 | 34/100 | 48/100 |
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) | GPT-5 ChatOpenAI | Palmyra X5Writer |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.20 | $1.25 | $0.60 (best) |
| Output | $4.80 (best) | $10.00 | $6.00 |
| Cached input | — | — | — |
| Blended (3:1) | $2.10 | $3.44 | $1.95 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 2 providers | Median of 1 providers |
| Limits | |||
| Context window | 131,072 tokens | 400,000 tokens | 1,000,000 tokens (best) |
| Max output | 8,192 tokens | 128,000 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | qvq-max | — | — |
| API providers | 1 | 2 (best) | 1 |
| Released | Mar 25, 2025 | Aug 7, 2025 | Apr 28, 2025 |
| Knowledge cutoff | Apr 2024 | Sep 30, 2024 | — |
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
- GPT-5 Chat$32.50
- Palmyra X5$18.00
Which should you choose?
Which is better: QVQ Max, GPT-5 Chat or Palmyra X5?
Palmyra X5 is the better all-round choice, scoring 48/100 against QVQ Max (40) and GPT-5 Chat (34). It leads 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, QVQ Max, GPT-5 Chat or Palmyra X5?
Palmyra X5 is cheaper at $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); GPT-5 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $1.95 per million tokens for Palmyra X5 versus $2.10 for QVQ Max (1.1× as much) and $3.44 for GPT-5 Chat (1.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. QVQ Max has not been scored yet, GPT-5 Chat has not been scored yet and Palmyra X5 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for QVQ Max, GPT-5 Chat and Palmyra X5 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that GPT-5 Chat does not support tool calling, which most coding agents need.
Which has the bigger context window?
Palmyra X5 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5 Chat and 131,072 for QVQ Max. Maximum output per response: QVQ Max up to 8,192, GPT-5 Chat up to 128,000, Palmyra X5 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
QVQ Max accepts text and images; GPT-5 Chat accepts text and images; Palmyra X5 accepts text and images. They handle the same number of input types.
Are any of these open source?
No. QVQ Max, GPT-5 Chat and Palmyra X5 are proprietary and only available through APIs and apps.
Which is newer?
GPT-5 Chat is the newest, released Aug 7, 2025. Palmyra X5 came out Apr 28, 2025; QVQ Max came out Mar 25, 2025. Knowledge cutoff: QVQ Max Apr 2024, GPT-5 Chat Sep 30, 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.
