GPT-5 Chat vs Hermes 4 405B vs Qwen3 Max Preview
Too close to call on our weighted score (Hermes 4 405B 35, Qwen3 Max Preview 33, GPT-5 Chat 31). The right pick depends on what you value most.
OpenAIGPT-5 Chat
31/100- ECI—
- Price$1.25 / $10.00
- Context400K
Nous ResearchHermes 4 405B
35/100- ECI—
- Price$1.00 / $3.00
- Context131K
Alibaba (Qwen)Qwen3 Max Preview
33/100- ECI—
- Price$0.975 / $4.14
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Hermes 4 405B 35/100, Qwen3 Max Preview 33/100, GPT-5 Chat 31/100), so choose by what matters most for your work: Hermes 4 405B on price and GPT-5 Chat for long inputs. 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 priceHermes 4 405BHermes 4 405B $1.50 · Qwen3 Max Preview $1.77 · GPT-5 Chat $3.44 per 1M tokens (3:1 blend)
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Qwen3 Max Preview 262,144 · Hermes 4 405B 131,072 tokens
- Widest inputsGPT-5 ChatGPT-5 Chat: Text, Images · Hermes 4 405B: Text · Qwen3 Max Preview: Text
- Self-hostingHermes 4 405BPublishes downloadable weights
| Measure | Weight | GPT-5 Chat | Hermes 4 405B | Qwen3 Max Preview |
|---|---|---|---|---|
| Price | 50% | 23 | 40 | 37 |
| Inputs & features | 30% | 35 | 35 | 25 |
| Context window | 20% | 44 | 25 | 37 |
| Overall | 100% | 31/100 | 35/100 | 33/100 |
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 | GPT-5 ChatOpenAI | Hermes 4 405BNous Research | Qwen3 Max PreviewAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $1.00 | $0.975 (best) |
| Output | $10.00 | $3.00 (best) | $4.14 |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $1.50 (best) | $1.77 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 5 providers | Median of 5 providers | Median of 2 providers |
| Limits | |||
| Context window | 400,000 tokens (best) | 131,072 tokens | 262,144 tokens |
| Max output | 128,000 tokens (best) | 117,964 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | — | — |
| API providers | 5 (best) | 5 (best) | 2 |
| Released | Aug 7, 2025 | Aug 26, 2025 | Sep 5, 2025 |
| Knowledge cutoff | Sep 30, 2024 | Aug 31, 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.
- GPT-5 Chat$32.50
- Hermes 4 405B$16.00
- Qwen3 Max Preview$18.03
Which should you choose?
Which is better: GPT-5 Chat, Hermes 4 405B or Qwen3 Max Preview?
It is close. Our weighted score puts them within 2 points (Hermes 4 405B 35/100, Qwen3 Max Preview 33/100, GPT-5 Chat 31/100), so choose by what matters most for your work: Hermes 4 405B on price and GPT-5 Chat for long inputs. 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, GPT-5 Chat, Hermes 4 405B or Qwen3 Max Preview?
Hermes 4 405B is cheaper at $1.00 input / $3.00 output per million tokens (median across 5 API providers). Qwen3 Max Preview costs $0.975 input / $4.14 output per million tokens (median across 2 API providers); GPT-5 Chat costs $1.25 input / $10.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $1.50 per million tokens for Hermes 4 405B versus $1.77 for Qwen3 Max Preview (1.2× as much) and $3.44 for GPT-5 Chat (2.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5 Chat has not been scored yet, Hermes 4 405B has not been scored yet and Qwen3 Max Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5 Chat, Hermes 4 405B and Qwen3 Max Preview 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?
GPT-5 Chat has the largest context window at 400,000 tokens, against 262,144 for Qwen3 Max Preview and 131,072 for Hermes 4 405B. Maximum output per response: GPT-5 Chat up to 128,000, Hermes 4 405B up to 117,964, Qwen3 Max Preview up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Chat accepts text and images; Hermes 4 405B accepts text; Qwen3 Max Preview accepts text. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
Hermes 4 405B publishes its weights and can be self-hosted; GPT-5 Chat and Qwen3 Max Preview is proprietary.
Which is newer?
Qwen3 Max Preview is the newest, released Sep 5, 2025. Hermes 4 405B came out Aug 26, 2025; GPT-5 Chat came out Aug 7, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024, Hermes 4 405B Aug 31, 2024, Qwen3 Max Preview 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 Nov 2, 2026.
