Nemotron Mini 4B Instruct vs Voxtral Small 24B 2507 vs GLM-4.5-Flash
GLM-4.5-Flash comes out ahead, 65 to 62 and 55 on our weighted score.
NVIDIANemotron Mini 4B Instruct
62/100- ECI—
- PriceFree / Free
- Context128K
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
- Our pick
Z.ai (Zhipu)GLM-4.5-Flash
65/100- ECI—
- PriceFree / Free
- Context131K
GLM-4.5-Flash is our pick
GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Nemotron Mini 4B Instruct (62) and Voxtral Small 24B 2507 (55). 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 priceNemotron Mini 4B Instruct and GLM-4.5-FlashNemotron Mini 4B Instruct Free · GLM-4.5-Flash Free · Voxtral Small 24B 2507 $0.15 per 1M tokens (3:1 blend)
- Longest contextGLM-4.5-FlashGLM-4.5-Flash 131,072 · Nemotron Mini 4B Instruct 128,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Nemotron Mini 4B Instruct: Text · Voxtral Small 24B 2507: Text, Audio · GLM-4.5-Flash: Text
- Self-hostingNemotron Mini 4B Instruct and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Nemotron Mini 4B Instruct | Voxtral Small 24B 2507 | GLM-4.5-Flash |
|---|---|---|---|---|
| Price | 50% | 100 | 89 | 100 |
| Inputs & features | 30% | 25 | 35 | 35 |
| Context window | 20% | 24 | 0 | 24 |
| Overall | 100% | 62/100 | 55/100 | 65/100 |
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 | Nemotron Mini 4B InstructNVIDIA | Voxtral Small 24B 2507Mistral AI | GLM-4.5-FlashZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | $0.10 | Free (best) |
| Output | Free (best) | $0.30 | Free (best) |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | $0.15 | Free (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Nvidia API | Official Mistral API | Official Z.AI API |
| Limits | |||
| Context window | 128,000 tokens | 32,768 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 32,768 tokens | 98,304 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache 2.0 | Proprietary |
| API model ID | nvidia/nemotron-mini-4b-instruct | voxtral-small-latest | glm-4.5-flash |
| API providers | 1 | 7 (best) | 4 |
| Released | Aug 21, 2024 | Jul 15, 2025 | Jul 28, 2025 |
| 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.
- Nemotron Mini 4B InstructFree
- Voxtral Small 24B 2507$1.60
- GLM-4.5-FlashFree
Which should you choose?
Which is better: Nemotron Mini 4B Instruct, Voxtral Small 24B 2507 or GLM-4.5-Flash?
GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Nemotron Mini 4B Instruct (62) and Voxtral Small 24B 2507 (55). 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, Nemotron Mini 4B Instruct, Voxtral Small 24B 2507 or GLM-4.5-Flash?
Nemotron Mini 4B Instruct is cheaper at Free input / Free output per million tokens (official Nvidia API price). GLM-4.5-Flash costs Free input / Free output per million tokens (official Z.AI API price); Voxtral Small 24B 2507 costs $0.10 input / $0.30 output per million tokens (official Mistral API price). Nemotron Mini 4B Instruct is listed as free.
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, Voxtral Small 24B 2507 has not been scored yet and GLM-4.5-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron Mini 4B Instruct, Voxtral Small 24B 2507 and GLM-4.5-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
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 32,768 for Voxtral Small 24B 2507. Maximum output per response: Nemotron Mini 4B Instruct up to 8,192, Voxtral Small 24B 2507 up to 32,768, GLM-4.5-Flash up to 98,304 tokens.
Which can read images, PDFs, audio or video?
Nemotron Mini 4B Instruct accepts text; Voxtral Small 24B 2507 accepts text and audio; GLM-4.5-Flash accepts text. Voxtral Small 24B 2507 handles the widest range of inputs.
Are any of these open source?
Nemotron Mini 4B Instruct and Voxtral Small 24B 2507 publishes its weights (Apache 2.0) 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. Voxtral Small 24B 2507 came out Jul 15, 2025; 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.
