Nemotron Mini 4B Instruct vs Aya Expanse 32B
Nemotron Mini 4B Instruct comes out ahead, 25 to 10 on our weighted score.
- Our pick
NVIDIANemotron Mini 4B Instruct
25/100- ECI—
- Price—
- Context128K
CohereAya Expanse 32B
10/100- ECI—
- Price$0.50 / $1.50
- Context128K
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Make it a three-way comparison.
Nemotron Mini 4B Instruct is our pick
Nemotron Mini 4B Instruct is the better all-round choice, scoring 25/100 against Aya Expanse 32B (10). It leads on inputs & features. 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 priceAya Expanse 32BAya Expanse 32B $0.75 per 1M tokens (3:1 blend) · Nemotron Mini 4B Instruct unpriced
- Longest contextAbout the sameNemotron Mini 4B Instruct 128,000 · Aya Expanse 32B 128,000 tokens
- Widest inputsSame inputsNemotron Mini 4B Instruct: Text · Aya Expanse 32B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron Mini 4B Instruct | Aya Expanse 32B |
|---|---|---|---|
| Inputs & features | 60% | 25 | 0 |
| Context window | 40% | 24 | 24 |
| Overall | 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 | Aya Expanse 32BCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.50 |
| Output | — | $1.50 |
| Cached input | — | — |
| Blended (3:1) | — | $0.75 |
| Long-context rate | — | Same rate |
| Price source | — | Official Cohere API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens (best) | 4,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenCC-BY-NC-4.0 |
| API model ID | — | c4ai-aya-expanse-32b |
| API providers | — | 2 |
| Released | Aug 21, 2024 | Oct 24, 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.
- Nemotron Mini 4B Instruct—
- Aya Expanse 32B$8.00
Which should you choose?
Which is better: Nemotron Mini 4B Instruct or Aya Expanse 32B?
Nemotron Mini 4B Instruct is the better all-round choice, scoring 25/100 against Aya Expanse 32B (10). It leads on inputs & features. 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 or Aya Expanse 32B?
Aya Expanse 32B is cheaper at $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 $0.75 per million tokens for Aya Expanse 32B versus . Nemotron Mini 4B Instruct has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron Mini 4B 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 Nemotron Mini 4B 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 Aya Expanse 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Nemotron Mini 4B Instruct and Aya Expanse 32B share the same 128,000-token context window. Maximum output per response: Nemotron Mini 4B Instruct up to 8,192, Aya Expanse 32B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Nemotron Mini 4B Instruct accepts text; Aya Expanse 32B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Aya Expanse 32B is the newest, released Oct 24, 2024. Nemotron Mini 4B Instruct came out Aug 21, 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.
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