Qwen2.5-Coder-32B-Instruct vs Hermes 3 70B Instruct vs Aya Expanse 32B
Qwen2.5-Coder-32B-Instruct comes out ahead, 39 to 32 and 32 on our weighted score, though Hermes 3 70B Instruct is 6% cheaper per token.
- Our pick
Alibaba (Qwen)Qwen2.5-Coder-32B-Instruct
39/100- ECI—
- Price$0.66 / $1.00
- Context131K
Nous ResearchHermes 3 70B Instruct
32/100- ECI—
- Price$0.70 / $0.70
- Context131K
CohereAya Expanse 32B
32/100- ECI—
- Price$0.50 / $1.50
- Context128K
Qwen2.5-Coder-32B-Instruct is our pick
Qwen2.5-Coder-32B-Instruct is the better all-round choice, scoring 39/100 against Hermes 3 70B Instruct (32) and Aya Expanse 32B (32). It leads on inputs & features. 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 3 70B InstructHermes 3 70B Instruct $0.70 · Qwen2.5-Coder-32B-Instruct $0.745 · Aya Expanse 32B $0.75 per 1M tokens (3:1 blend)
- Longest contextQwen2.5-Coder-32B-Instruct and Hermes 3 70B InstructQwen2.5-Coder-32B-Instruct 131,072 · Hermes 3 70B Instruct 131,072 · Aya Expanse 32B 128,000 tokens
- Widest inputsSame inputsQwen2.5-Coder-32B-Instruct: Text · Hermes 3 70B Instruct: Text · Aya Expanse 32B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen2.5-Coder-32B-Instruct | Hermes 3 70B Instruct | Aya Expanse 32B |
|---|---|---|---|---|
| Price | 50% | 54 | 55 | 53 |
| Inputs & features | 30% | 25 | 0 | 0 |
| Context window | 20% | 25 | 25 | 24 |
| Overall | 100% | 39/100 | 32/100 | 32/100 |
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 | Qwen2.5-Coder-32B-InstructAlibaba (Qwen) | Hermes 3 70B InstructNous Research | Aya Expanse 32BCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.66 | $0.70 | $0.50 (best) |
| Output | $1.00 | $0.70 (best) | $1.50 |
| Cached input | — | — | — |
| Blended (3:1) | $0.745 | $0.70 (best) | $0.75 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 7 providers | Median of 5 providers | Official Cohere API |
| Limits | |||
| Context window | 131,072 tokens (best) | 131,072 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens | 16,384 tokens (best) | 4,000 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 | No | No | No |
| Tool calling | Yes | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | OpenCC-BY-NC-4.0 |
| API model ID | — | — | c4ai-aya-expanse-32b |
| API providers | 7 (best) | 5 | 2 |
| Released | Nov 12, 2024 | Aug 18, 2024 | Oct 24, 2024 |
| Knowledge cutoff | — | Dec 31, 2023 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen2.5-Coder-32B-Instruct$8.60
- Hermes 3 70B Instruct$8.40
- Aya Expanse 32B$8.00
Which should you choose?
Which is better: Qwen2.5-Coder-32B-Instruct, Hermes 3 70B Instruct or Aya Expanse 32B?
Qwen2.5-Coder-32B-Instruct is the better all-round choice, scoring 39/100 against Hermes 3 70B Instruct (32) and Aya Expanse 32B (32). It leads on inputs & features. 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, Qwen2.5-Coder-32B-Instruct, Hermes 3 70B Instruct or Aya Expanse 32B?
Hermes 3 70B Instruct is cheaper at $0.70 input / $0.70 output per million tokens (median across 5 API providers). Qwen2.5-Coder-32B-Instruct costs $0.66 input / $1.00 output per million tokens (median across 7 API providers); Aya Expanse 32B costs $0.50 input / $1.50 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Hermes 3 70B Instruct versus $0.745 for Qwen2.5-Coder-32B-Instruct (1.1× as much) and $0.75 for Aya Expanse 32B (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen2.5-Coder-32B-Instruct has not been scored yet, Hermes 3 70B Instruct has not been scored yet and Aya Expanse 32B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5-Coder-32B-Instruct, Hermes 3 70B Instruct and Aya Expanse 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Hermes 3 70B Instruct and Aya Expanse 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen2.5-Coder-32B-Instruct and Hermes 3 70B Instruct have the largest context windows (131,072 and 131,072 tokens), against 128,000 for Aya Expanse 32B. Maximum output per response: Qwen2.5-Coder-32B-Instruct up to 8,192, Hermes 3 70B Instruct up to 16,384, Aya Expanse 32B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5-Coder-32B-Instruct accepts text; Hermes 3 70B Instruct accepts text; Aya Expanse 32B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Qwen2.5-Coder-32B-Instruct is the newest, released Nov 12, 2024. Aya Expanse 32B came out Oct 24, 2024; Hermes 3 70B Instruct came out Aug 18, 2024. Knowledge cutoff: Hermes 3 70B Instruct Dec 31, 2023.
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.
