GLM-4.7 vs Nemotron 3 Ultra 550B A55B vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B comes out ahead, 66 to 62 and 56 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-4.7
56/100- ECI143.5
- Price$0.60 / $2.20
- Context205K
NVIDIANemotron 3 Ultra 550B A55B
62/100- ECI146.2
- Price$0.50 / $2.50
- Context1M
- Our pick
Alibaba (Qwen)Qwen3.5 35B-A3B
66/100- ECI142.5
- Price$0.25 / $2.00
- Context262K
Qwen3.5 35B-A3B is our pick
Qwen3.5 35B-A3B is the better all-round choice, scoring 66/100 against Nemotron 3 Ultra 550B A55B (62) and GLM-4.7 (56). It leads on price and inputs & features. Nemotron 3 Ultra 550B A55B wins on capability and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityNemotron 3 Ultra 550B A55BCapabilities Index (ECI): Nemotron 3 Ultra 550B A55B 146.2 · GLM-4.7 143.5 · Qwen3.5 35B-A3B 142.5
- Lowest priceQwen3.5 35B-A3BQwen3.5 35B-A3B $0.688 · GLM-4.7 $1.00 · Nemotron 3 Ultra 550B A55B $1.00 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B 1,000,000 · Qwen3.5 35B-A3B 262,144 · GLM-4.7 204,800 tokens
- Widest inputsQwen3.5 35B-A3BGLM-4.7: Text · Nemotron 3 Ultra 550B A55B: Text · Qwen3.5 35B-A3B: Text, Images, Audio, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.7 | Nemotron 3 Ultra 550B A55B | Qwen3.5 35B-A3B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 70 | 73 | 69 |
| Price | 25% | 50 | 50 | 58 |
| Inputs & features | 15% | 35 | 45 | 90 |
| Context window | 10% | 32 | 60 | 37 |
| Overall | 100% | 56/100 | 62/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-4.7Z.ai (Zhipu) | Nemotron 3 Ultra 550B A55BNVIDIA | Qwen3.5 35B-A3BAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 143.5 | 146.2 (best) | 142.5 |
| ECI rank | #84 of 148 | #70 of 148 (best) | #88 of 148 |
| GPQA DiamondGraduate-level science questions | 83.3% | 85.4% (best) | 83.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 83.3% | 86.7% (best) | 70.0% |
| SimpleQA VerifiedShort factual questions | 32.2% | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.50 | $0.25 (best) |
| Output | $2.20 | $2.50 | $2.00 (best) |
| Cached input | $0.11 (best) | $0.15 | — |
| Blended (3:1) | $1.00 | $1.00 | $0.688 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Nvidia API | Official Alibaba API |
| Limits | |||
| Context window | 204,800 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | glm-4.7 | nvidia/nemotron-3-ultra-550b-a55b | qwen3.5-35b-a3b |
| API providers | 20 | 21 (best) | 18 |
| Released | Dec 22, 2025 | Jun 4, 2026 | Feb 23, 2026 |
| 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.
- GLM-4.7$10.40
- Nemotron 3 Ultra 550B A55B$10.00
- Qwen3.5 35B-A3B$6.50
Which should you choose?
Which is better: GLM-4.7, Nemotron 3 Ultra 550B A55B or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the better all-round choice, scoring 66/100 against Nemotron 3 Ultra 550B A55B (62) and GLM-4.7 (56). It leads on price and inputs & features. Nemotron 3 Ultra 550B A55B wins on capability and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GLM-4.7, Nemotron 3 Ultra 550B A55B or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is cheaper at $0.25 input / $2.00 output per million tokens (official Alibaba API price). GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price); Nemotron 3 Ultra 550B A55B costs $0.50 input / $2.50 output per million tokens (official Nvidia API price). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for Qwen3.5 35B-A3B versus $1.00 for GLM-4.7 (1.5× as much) and $1.00 for Nemotron 3 Ultra 550B A55B (1.5× as much).
Which scores higher on benchmarks?
Nemotron 3 Ultra 550B A55B scores higher on the Capabilities Index (ECI): Nemotron 3 Ultra 550B A55B 146.2 (#70 of 148), GLM-4.7 143.5 (#84 of 148) and Qwen3.5 35B-A3B 142.5 (#88 of 148). The confidence ranges of the top two overlap (143.9–148.1 vs 141.3–145.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Nemotron 3 Ultra 550B A55B 85.4%, Qwen3.5 35B-A3B 83.5%, GLM-4.7 83.3%; OTIS Mock AIME 2024–2025 — Nemotron 3 Ultra 550B A55B 86.7%, GLM-4.7 83.3%, Qwen3.5 35B-A3B 70.0%.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.7, Nemotron 3 Ultra 550B A55B and Qwen3.5 35B-A3B yet, so there is no like-for-like coding score. On overall capability, Nemotron 3 Ultra 550B A55B leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Nemotron 3 Ultra 550B A55B has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.5 35B-A3B and 204,800 for GLM-4.7. Maximum output per response: GLM-4.7 up to 131,072, Nemotron 3 Ultra 550B A55B up to 128,000, Qwen3.5 35B-A3B up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-4.7 accepts text; Nemotron 3 Ultra 550B A55B accepts text; Qwen3.5 35B-A3B accepts text, images, audio and video. Qwen3.5 35B-A3B 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 Ultra 550B A55B is the newest, released Jun 4, 2026. Qwen3.5 35B-A3B came out Feb 23, 2026; GLM-4.7 came out Dec 22, 2025. Knowledge cutoff: GLM-4.7 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.
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