GLM-4.6V-Flash vs Mistral Small 4 vs Nemotron 3 Super 120B A12B
Too close to call on our weighted score (Mistral Small 4 65, GLM-4.6V-Flash 63, Nemotron 3 Super 120B A12B 54). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-4.6V-Flash
63/100- ECI—
- Price$0.161 / $0.559
- Context128K
Mistral AIMistral Small 4
65/100- ECI—
- Price$0.15 / $0.60
- Context256K
NVIDIANemotron 3 Super 120B A12B
54/100- ECI—
- Price$0.15 / $0.65
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Mistral Small 4 65/100, GLM-4.6V-Flash 63/100, Nemotron 3 Super 120B A12B 54/100), so choose by what matters most for your work: GLM-4.6V-Flash on price and Nemotron 3 Super 120B A12B for long inputs. 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 priceGLM-4.6V-FlashGLM-4.6V-Flash $0.261 · Mistral Small 4 $0.263 · Nemotron 3 Super 120B A12B $0.275 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Super 120B A12BNemotron 3 Super 120B A12B 262,144 · Mistral Small 4 256,000 · GLM-4.6V-Flash 128,000 tokens
- Widest inputsGLM-4.6V-FlashGLM-4.6V-Flash: Text, Images, Video · Mistral Small 4: Text, Images · Nemotron 3 Super 120B A12B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.6V-Flash | Mistral Small 4 | Nemotron 3 Super 120B A12B |
|---|---|---|---|---|
| Price | 50% | 74 | 74 | 73 |
| Inputs & features | 30% | 70 | 70 | 35 |
| Context window | 20% | 24 | 36 | 37 |
| Overall | 100% | 63/100 | 65/100 | 54/100 |
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 | GLM-4.6V-FlashZ.ai (Zhipu) | Mistral Small 4Mistral AI | Nemotron 3 Super 120B A12BNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.161 | $0.15 (best) | $0.15 (best) |
| Output | $0.559 (best) | $0.60 | $0.65 |
| Cached input | — | $0.015 | — |
| Blended (3:1) | $0.261 (best) | $0.263 | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Mistral API | Median of 16 providers |
| Limits | |||
| Context window | 128,000 tokens | 256,000 tokens | 262,144 tokens (best) |
| Max output | 32,768 tokens | 256,000 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yeshigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | glm-4.6v-flash | mistral-small-2603 | — |
| API providers | 6 | 21 (best) | 18 |
| Released | Dec 8, 2025 | Mar 16, 2026 | Mar 11, 2026 |
| Knowledge cutoff | — | Jun 2025 | Jun 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.6V-Flash$2.73
- Mistral Small 4$2.70
- Nemotron 3 Super 120B A12B$2.80
Which should you choose?
Which is better: GLM-4.6V-Flash, Mistral Small 4 or Nemotron 3 Super 120B A12B?
It is close. Our weighted score puts them within 2 points (Mistral Small 4 65/100, GLM-4.6V-Flash 63/100, Nemotron 3 Super 120B A12B 54/100), so choose by what matters most for your work: GLM-4.6V-Flash on price and Nemotron 3 Super 120B A12B for long inputs. 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, GLM-4.6V-Flash, Mistral Small 4 or Nemotron 3 Super 120B A12B?
GLM-4.6V-Flash is cheaper at $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI). Mistral Small 4 costs $0.15 input / $0.60 output per million tokens (official Mistral API price); Nemotron 3 Super 120B A12B costs $0.15 input / $0.65 output per million tokens (median across 16 API providers). At a typical mix of three input tokens to one output token, that is $0.261 per million tokens for GLM-4.6V-Flash versus $0.263 for Mistral Small 4 (1× as much) and $0.275 for Nemotron 3 Super 120B A12B (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.6V-Flash has not been scored yet, Mistral Small 4 has not been scored yet and Nemotron 3 Super 120B A12B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V-Flash, Mistral Small 4 and Nemotron 3 Super 120B A12B 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?
Nemotron 3 Super 120B A12B has the largest context window at 262,144 tokens, against 256,000 for Mistral Small 4 and 128,000 for GLM-4.6V-Flash. Maximum output per response: GLM-4.6V-Flash up to 32,768, Mistral Small 4 up to 256,000, Nemotron 3 Super 120B A12B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V-Flash accepts text, images and video; Mistral Small 4 accepts text and images; Nemotron 3 Super 120B A12B accepts text. GLM-4.6V-Flash handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Mistral Small 4 is the newest, released Mar 16, 2026. Nemotron 3 Super 120B A12B came out Mar 11, 2026; GLM-4.6V-Flash came out Dec 8, 2025. Knowledge cutoff: Mistral Small 4 Jun 2025, Nemotron 3 Super 120B A12B Jun 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 Nov 2, 2026.
