Aya Expanse 32B vs Hermes 2 Pro Llama 3 8B vs Qwen2.5-Coder-32B-Instruct
Hermes 2 Pro Llama 3 8B comes out ahead, 51 to 39 and 32 on our weighted score, and it is the cheaper option too.
CohereAya Expanse 32B
32/100- ECI—
- Price$0.50 / $1.50
- Context128K
- Our pick
Nous ResearchHermes 2 Pro Llama 3 8B
51/100- ECI—
- Price$0.14 / $0.14
- Context8K
Alibaba (Qwen)Qwen2.5-Coder-32B-Instruct
39/100- ECI—
- Price$0.66 / $1.00
- Context131K
Hermes 2 Pro Llama 3 8B is our pick
Hermes 2 Pro Llama 3 8B is the better all-round choice, scoring 51/100 against Qwen2.5-Coder-32B-Instruct (39) and Aya Expanse 32B (32). It leads on price. 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 2 Pro Llama 3 8BHermes 2 Pro Llama 3 8B $0.14 · Qwen2.5-Coder-32B-Instruct $0.745 · Aya Expanse 32B $0.75 per 1M tokens (3:1 blend)
- Longest contextQwen2.5-Coder-32B-InstructQwen2.5-Coder-32B-Instruct 131,072 · Aya Expanse 32B 128,000 · Hermes 2 Pro Llama 3 8B 8,192 tokens
- Widest inputsSame inputsAya Expanse 32B: Text · Hermes 2 Pro Llama 3 8B: Text · Qwen2.5-Coder-32B-Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Aya Expanse 32B | Hermes 2 Pro Llama 3 8B | Qwen2.5-Coder-32B-Instruct |
|---|---|---|---|---|
| Price | 50% | 53 | 87 | 54 |
| Inputs & features | 30% | 0 | 25 | 25 |
| Context window | 20% | 24 | 0 | 25 |
| Overall | 100% | 32/100 | 51/100 | 39/100 |
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 | Aya Expanse 32BCohere | Hermes 2 Pro Llama 3 8BNous Research | Qwen2.5-Coder-32B-InstructAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 | $0.14 (best) | $0.66 |
| Output | $1.50 | $0.14 (best) | $1.00 |
| Cached input | — | — | — |
| Blended (3:1) | $0.75 | $0.14 (best) | $0.745 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 2 providers | Median of 7 providers |
| Limits | |||
| Context window | 128,000 tokens | 8,192 tokens | 131,072 tokens (best) |
| Max output | 4,000 tokens | 8,192 tokens (best) | 8,192 tokens (best) |
| 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 | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | OpenLlama 3 Community License | Open |
| API model ID | c4ai-aya-expanse-32b | — | — |
| API providers | 2 | 2 | 7 (best) |
| Released | Oct 24, 2024 | Apr 30, 2024 | Nov 12, 2024 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Aya Expanse 32B$8.00
- Hermes 2 Pro Llama 3 8B$1.68
- Qwen2.5-Coder-32B-Instruct$8.60
Which should you choose?
Which is better: Aya Expanse 32B, Hermes 2 Pro Llama 3 8B or Qwen2.5-Coder-32B-Instruct?
Hermes 2 Pro Llama 3 8B is the better all-round choice, scoring 51/100 against Qwen2.5-Coder-32B-Instruct (39) and Aya Expanse 32B (32). It leads on price. 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, Aya Expanse 32B, Hermes 2 Pro Llama 3 8B or Qwen2.5-Coder-32B-Instruct?
Hermes 2 Pro Llama 3 8B is cheaper at $0.14 input / $0.14 output per million tokens (median across 2 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 $0.14 per million tokens for Hermes 2 Pro Llama 3 8B versus $0.745 for Qwen2.5-Coder-32B-Instruct (5.3× as much) and $0.75 for Aya Expanse 32B (5.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Aya Expanse 32B has not been scored yet, Hermes 2 Pro Llama 3 8B has not been scored yet and Qwen2.5-Coder-32B-Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Expanse 32B, Hermes 2 Pro Llama 3 8B and Qwen2.5-Coder-32B-Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen2.5-Coder-32B-Instruct has the largest context window at 131,072 tokens, against 128,000 for Aya Expanse 32B and 8,192 for Hermes 2 Pro Llama 3 8B. Maximum output per response: Aya Expanse 32B up to 4,000, Hermes 2 Pro Llama 3 8B up to 8,192, Qwen2.5-Coder-32B-Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Aya Expanse 32B accepts text; Hermes 2 Pro Llama 3 8B accepts text; Qwen2.5-Coder-32B-Instruct 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 and Llama 3 Community License), 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 2 Pro Llama 3 8B came out Apr 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 Nov 2, 2026.
