Qwen3-Next 80B-A3B (Thinking) vs Relace Search vs Hermes 4 405B
Too close to call on our weighted score (Qwen3-Next 80B-A3B (Thinking) 35, Hermes 4 405B 35, Relace Search 35). The right pick depends on what you value most.
Alibaba (Qwen)Qwen3-Next 80B-A3B (Thinking)
35/100- ECI—
- Price$0.50 / $6.00
- Context262K
Relace
Relace Search
35/100- ECI—
- Price$1.00 / $3.00
- Context256K
Nous ResearchHermes 4 405B
35/100- ECI—
- Price$1.00 / $3.00
- Context131K
Too close to call
It is close. Our weighted score puts them within a point (Qwen3-Next 80B-A3B (Thinking) 35/100, Hermes 4 405B 35/100, Relace Search 35/100), so choose by what matters most for your work: Relace Search on price and Qwen3-Next 80B-A3B (Thinking) 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 priceRelace Search and Hermes 4 405BRelace Search $1.50 · Hermes 4 405B $1.50 · Qwen3-Next 80B-A3B (Thinking) $1.88 per 1M tokens (3:1 blend)
- Longest contextQwen3-Next 80B-A3B (Thinking)Qwen3-Next 80B-A3B (Thinking) 262,144 · Relace Search 256,000 · Hermes 4 405B 131,072 tokens
- Widest inputsSame inputsQwen3-Next 80B-A3B (Thinking): Text · Relace Search: Text · Hermes 4 405B: Text
- Self-hostingQwen3-Next 80B-A3B (Thinking) and Hermes 4 405BPublishes downloadable weights
| Measure | Weight | Qwen3-Next 80B-A3B (Thinking) | Relace Search | Hermes 4 405B |
|---|---|---|---|---|
| Price | 50% | 35 | 40 | 40 |
| Inputs & features | 30% | 35 | 25 | 35 |
| Context window | 20% | 37 | 36 | 25 |
| Overall | 100% | 35/100 | 35/100 | 35/100 |
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 | Qwen3-Next 80B-A3B (Thinking)Alibaba (Qwen) | Relace SearchRelace | Hermes 4 405BNous Research |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 (best) | $1.00 | $1.00 |
| Output | $6.00 | $3.00 (best) | $3.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $1.88 | $1.50 (best) | $1.50 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 3 providers | Median of 5 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 256,000 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 128,000 tokens (best) | 117,964 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| 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 | Open | Proprietary | Open |
| API model ID | qwen3-next-80b-a3b-thinking | — | — |
| API providers | 7 (best) | 3 | 5 |
| Released | Sep 2025 | Dec 8, 2025 | Aug 26, 2025 |
| Knowledge cutoff | Apr 2025 | — | Aug 31, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3-Next 80B-A3B (Thinking)$17.00
- Relace Search$16.00
- Hermes 4 405B$16.00
Which should you choose?
Which is better: Qwen3-Next 80B-A3B (Thinking), Relace Search or Hermes 4 405B?
It is close. Our weighted score puts them within a point (Qwen3-Next 80B-A3B (Thinking) 35/100, Hermes 4 405B 35/100, Relace Search 35/100), so choose by what matters most for your work: Relace Search on price and Qwen3-Next 80B-A3B (Thinking) 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, Qwen3-Next 80B-A3B (Thinking), Relace Search or Hermes 4 405B?
Relace Search is cheaper at $1.00 input / $3.00 output per million tokens (median across 3 API providers). Hermes 4 405B costs $1.00 input / $3.00 output per million tokens (median across 5 API providers); Qwen3-Next 80B-A3B (Thinking) costs $0.50 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.50 per million tokens for Relace Search versus $1.50 for Hermes 4 405B (1× as much) and $1.88 for Qwen3-Next 80B-A3B (Thinking) (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3-Next 80B-A3B (Thinking) has not been scored yet, Relace Search has not been scored yet and Hermes 4 405B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-Next 80B-A3B (Thinking), Relace Search and Hermes 4 405B 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?
Qwen3-Next 80B-A3B (Thinking) has the largest context window at 262,144 tokens, against 256,000 for Relace Search and 131,072 for Hermes 4 405B. Maximum output per response: Qwen3-Next 80B-A3B (Thinking) up to 32,768, Relace Search up to 128,000, Hermes 4 405B up to 117,964 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Next 80B-A3B (Thinking) accepts text; Relace Search accepts text; Hermes 4 405B accepts text. They handle the same number of input types.
Are any of these open source?
Qwen3-Next 80B-A3B (Thinking) and Hermes 4 405B publishes its weights and can be self-hosted; Relace Search is proprietary.
Which is newer?
Relace Search is the newest, released Dec 8, 2025. Qwen3-Next 80B-A3B (Thinking) came out Sep 2025; Hermes 4 405B came out Aug 26, 2025. Knowledge cutoff: Qwen3-Next 80B-A3B (Thinking) Apr 2025, Hermes 4 405B Aug 31, 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 Nov 2, 2026.
