Aya Expanse 8B vs GLM-4.5-Flash vs Nemotron Mini 4B Instruct
GLM-4.5-Flash comes out ahead, 31 to 25 and 0 on our weighted score.
CohereAya Expanse 8B
0/100- ECI—
- Price—
- Context8K
- Our pick
Z.ai (Zhipu)GLM-4.5-Flash
31/100- ECI—
- PriceFree / Free
- Context131K
NVIDIANemotron Mini 4B Instruct
25/100- ECI—
- PriceFree / Free
- Context128K
GLM-4.5-Flash is our pick
GLM-4.5-Flash is the better all-round choice, scoring 31/100 against Nemotron Mini 4B Instruct (25) and Aya Expanse 8B (0). 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 priceGLM-4.5-Flash and Nemotron Mini 4B InstructGLM-4.5-Flash Free · Nemotron Mini 4B Instruct Free per 1M tokens (3:1 blend) · Aya Expanse 8B unpriced
- Longest contextGLM-4.5-FlashGLM-4.5-Flash 131,072 · Nemotron Mini 4B Instruct 128,000 · Aya Expanse 8B 8,000 tokens
- Widest inputsSame inputsAya Expanse 8B: Text · GLM-4.5-Flash: Text · Nemotron Mini 4B Instruct: Text
- Self-hostingAya Expanse 8B and Nemotron Mini 4B InstructPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Aya Expanse 8B | GLM-4.5-Flash | Nemotron Mini 4B Instruct |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 35 | 25 |
| Context window | 40% | 0 | 24 | 24 |
| Overall | 100% | 0/100 | 31/100 | 25/100 |
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 | Aya Expanse 8BCohere | GLM-4.5-FlashZ.ai (Zhipu) | Nemotron Mini 4B InstructNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | Free | Free |
| Output | — | Free | Free |
| Cached input | — | — | — |
| Blended (3:1) | — | Free | Free |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official Z.AI API | Official Nvidia API |
| Limits | |||
| Context window | 8,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| Max output | 4,000 tokens | 98,304 tokens (best) | 8,192 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 | Yes | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | Proprietary | Open |
| API model ID | — | glm-4.5-flash | nvidia/nemotron-mini-4b-instruct |
| API providers | — | 4 (best) | 1 |
| Released | Oct 24, 2024 | Jul 28, 2025 | Aug 21, 2024 |
| Knowledge cutoff | — | Apr 2025 | — |
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 8B—
- GLM-4.5-FlashFree
- Nemotron Mini 4B InstructFree
Which should you choose?
Which is better: Aya Expanse 8B, GLM-4.5-Flash or Nemotron Mini 4B Instruct?
GLM-4.5-Flash is the better all-round choice, scoring 31/100 against Nemotron Mini 4B Instruct (25) and Aya Expanse 8B (0). 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, Aya Expanse 8B, GLM-4.5-Flash or Nemotron Mini 4B Instruct?
GLM-4.5-Flash is cheaper at Free input / Free output per million tokens (official Z.AI API price). Nemotron Mini 4B Instruct costs Free input / Free output per million tokens (official Nvidia API price). GLM-4.5-Flash is listed as free. Aya Expanse 8B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Aya Expanse 8B has not been scored yet, GLM-4.5-Flash has not been scored yet and Nemotron Mini 4B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Expanse 8B, GLM-4.5-Flash and Nemotron Mini 4B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 8B does not support tool calling, which most coding agents need.
Which has the bigger context window?
GLM-4.5-Flash has the largest context window at 131,072 tokens, against 128,000 for Nemotron Mini 4B Instruct and 8,000 for Aya Expanse 8B. Maximum output per response: Aya Expanse 8B up to 4,000, GLM-4.5-Flash up to 98,304, Nemotron Mini 4B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Aya Expanse 8B accepts text; GLM-4.5-Flash accepts text; Nemotron Mini 4B Instruct accepts text. They handle the same number of input types.
Are any of these open source?
Aya Expanse 8B and Nemotron Mini 4B Instruct publishes its weights (CC-BY-NC-4.0) and can be self-hosted; GLM-4.5-Flash is proprietary.
Which is newer?
GLM-4.5-Flash is the newest, released Jul 28, 2025. Aya Expanse 8B came out Oct 24, 2024; Nemotron Mini 4B Instruct came out Aug 21, 2024. Knowledge cutoff: GLM-4.5-Flash Apr 2025.
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 Oct 4, 2026.
