Nemotron Mini 4B Instruct vs Qwen2.5-Coder-32B-Instruct vs Hermes 3 70B Instruct
Too close to call on our weighted score (Qwen2.5-Coder-32B-Instruct 25, Nemotron Mini 4B Instruct 25, Hermes 3 70B Instruct 10). The right pick depends on what you value most.
NVIDIANemotron Mini 4B Instruct
25/100- ECI—
- Price—
- Context128K
Alibaba (Qwen)Qwen2.5-Coder-32B-Instruct
25/100- ECI—
- Price$0.66 / $1.00
- Context131K
Nous ResearchHermes 3 70B Instruct
10/100- ECI—
- Price$0.70 / $0.70
- Context131K
Too close to call
It is close. Our weighted score puts them within a point (Qwen2.5-Coder-32B-Instruct 25/100, Nemotron Mini 4B Instruct 25/100, Hermes 3 70B Instruct 10/100), so choose by what matters most for your work: Hermes 3 70B Instruct on price. The score weighs inputs & features 60%, context window 40%. 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 per 1M tokens (3:1 blend) · Nemotron Mini 4B Instruct unpriced
- Longest contextQwen2.5-Coder-32B-Instruct and Hermes 3 70B InstructQwen2.5-Coder-32B-Instruct 131,072 · Hermes 3 70B Instruct 131,072 · Nemotron Mini 4B Instruct 128,000 tokens
- Widest inputsSame inputsNemotron Mini 4B Instruct: Text · Qwen2.5-Coder-32B-Instruct: Text · Hermes 3 70B Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron Mini 4B Instruct | Qwen2.5-Coder-32B-Instruct | Hermes 3 70B Instruct |
|---|---|---|---|---|
| Inputs & features | 60% | 25 | 25 | 0 |
| Context window | 40% | 24 | 25 | 25 |
| Overall | 100% | 25/100 | 25/100 | 10/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Nemotron Mini 4B InstructNVIDIA | Qwen2.5-Coder-32B-InstructAlibaba (Qwen) | Hermes 3 70B InstructNous Research |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.66 (best) | $0.70 |
| Output | — | $1.00 | $0.70 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.745 | $0.70 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 7 providers | Median of 5 providers |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Max output | 8,192 tokens | 8,192 tokens | 16,384 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 | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | — | — |
| API providers | — | 7 (best) | 5 |
| Released | Aug 21, 2024 | Nov 12, 2024 | Aug 18, 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.
- Nemotron Mini 4B Instruct—
- Qwen2.5-Coder-32B-Instruct$8.60
- Hermes 3 70B Instruct$8.40
Which should you choose?
Which is better: Nemotron Mini 4B Instruct, Qwen2.5-Coder-32B-Instruct or Hermes 3 70B Instruct?
It is close. Our weighted score puts them within a point (Qwen2.5-Coder-32B-Instruct 25/100, Nemotron Mini 4B Instruct 25/100, Hermes 3 70B Instruct 10/100), so choose by what matters most for your work: Hermes 3 70B Instruct on price. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Nemotron Mini 4B Instruct, Qwen2.5-Coder-32B-Instruct or Hermes 3 70B Instruct?
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). 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). Nemotron Mini 4B Instruct has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron Mini 4B Instruct has not been scored yet, Qwen2.5-Coder-32B-Instruct has not been scored yet and Hermes 3 70B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron Mini 4B Instruct, Qwen2.5-Coder-32B-Instruct and Hermes 3 70B Instruct 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 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 Nemotron Mini 4B Instruct. Maximum output per response: Nemotron Mini 4B Instruct up to 8,192, Qwen2.5-Coder-32B-Instruct up to 8,192, Hermes 3 70B Instruct up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Nemotron Mini 4B Instruct accepts text; Qwen2.5-Coder-32B-Instruct accepts text; Hermes 3 70B Instruct accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Qwen2.5-Coder-32B-Instruct is the newest, released Nov 12, 2024. Nemotron Mini 4B Instruct came out Aug 21, 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.
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