GLM-4.6V vs Nemotron 3 Super 120B A12B vs Qwen3 Coder Next
GLM-4.6V comes out ahead, 59 to 54 and 51 on our weighted score, though Nemotron 3 Super 120B A12B is 22% cheaper per token.
- Our pick
Z.ai (Zhipu)GLM-4.6V
59/100- ECI—
- Price$0.30 / $0.90
- Context128K
NVIDIANemotron 3 Super 120B A12B
54/100- ECI—
- Price$0.20 / $0.80
- Context262K
Alibaba (Qwen)Qwen3 Coder Next
51/100- ECI—
- Price$0.20 / $1.20
- Context262K
GLM-4.6V is our pick
GLM-4.6V is the better all-round choice, scoring 59/100 against Nemotron 3 Super 120B A12B (54) and Qwen3 Coder Next (51). It leads on inputs & features. Nemotron 3 Super 120B A12B wins on price. 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 3 Super 120B A12BNemotron 3 Super 120B A12B $0.35 · GLM-4.6V $0.45 · Qwen3 Coder Next $0.45 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Super 120B A12B and Qwen3 Coder NextNemotron 3 Super 120B A12B 262,144 · Qwen3 Coder Next 262,144 · GLM-4.6V 128,000 tokens
- Widest inputsGLM-4.6VGLM-4.6V: Text, Images, Video · Nemotron 3 Super 120B A12B: Text · Qwen3 Coder Next: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.6V | Nemotron 3 Super 120B A12B | Qwen3 Coder Next |
|---|---|---|---|---|
| Price | 50% | 66 | 72 | 66 |
| Inputs & features | 30% | 70 | 35 | 35 |
| Context window | 20% | 24 | 37 | 37 |
| Overall | 100% | 59/100 | 54/100 | 51/100 |
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-4.6VZ.ai (Zhipu) | Nemotron 3 Super 120B A12BNVIDIA | Qwen3 Coder NextAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.20 (best) | $0.20 (best) |
| Output | $0.90 | $0.80 (best) | $1.20 |
| Cached input | — | — | — |
| Blended (3:1) | $0.45 | $0.35 (best) | $0.45 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Nvidia API | Median of 11 providers |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 32,768 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | glm-4.6v | nvidia/nemotron-3-super-120b-a12b | — |
| API providers | 10 | 19 (best) | 11 |
| Released | Dec 8, 2025 | Mar 11, 2026 | Feb 3, 2026 |
| Knowledge cutoff | Apr 2025 | — | Sep 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$4.80
- Nemotron 3 Super 120B A12B$3.60
- Qwen3 Coder Next$4.40
Which should you choose?
Which is better: GLM-4.6V, Nemotron 3 Super 120B A12B or Qwen3 Coder Next?
GLM-4.6V is the better all-round choice, scoring 59/100 against Nemotron 3 Super 120B A12B (54) and Qwen3 Coder Next (51). It leads on inputs & features. Nemotron 3 Super 120B A12B wins on price. 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, Nemotron 3 Super 120B A12B or Qwen3 Coder Next?
Nemotron 3 Super 120B A12B is cheaper at $0.20 input / $0.80 output per million tokens (official Nvidia API price). GLM-4.6V costs $0.30 input / $0.90 output per million tokens (official Z.AI API price); Qwen3 Coder Next costs $0.20 input / $1.20 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.35 per million tokens for Nemotron 3 Super 120B A12B versus $0.45 for GLM-4.6V (1.3× as much) and $0.45 for Qwen3 Coder Next (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.6V has not been scored yet, Nemotron 3 Super 120B A12B has not been scored yet and Qwen3 Coder Next has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V, Nemotron 3 Super 120B A12B and Qwen3 Coder Next 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 and Qwen3 Coder Next have the largest context windows (262,144 and 262,144 tokens), against 128,000 for GLM-4.6V. Maximum output per response: GLM-4.6V up to 32,768, Nemotron 3 Super 120B A12B up to 262,144, Qwen3 Coder Next up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V accepts text, images and video; Nemotron 3 Super 120B A12B accepts text; Qwen3 Coder Next accepts text. GLM-4.6V 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?
Nemotron 3 Super 120B A12B is the newest, released Mar 11, 2026. Qwen3 Coder Next came out Feb 3, 2026; GLM-4.6V came out Dec 8, 2025. Knowledge cutoff: GLM-4.6V Apr 2025, Qwen3 Coder Next Sep 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.
