GLM-5V-Turbo vs Nemotron 3 Nano Omni 30B A3B Reasoning vs Trinity Large Thinking
Nemotron 3 Nano Omni 30B A3B Reasoning comes out ahead, 69 to 55 and 49 on our weighted score.
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
- Our pick
NVIDIANemotron 3 Nano Omni 30B A3B Reasoning
69/100- ECI—
- Price$0.25 / $0.85
- Context256K
Arcee AITrinity Large Thinking
55/100- ECI—
- Price$0.25 / $0.80
- Context524K
Nemotron 3 Nano Omni 30B A3B Reasoning is our pick
Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against Trinity Large Thinking (55) and GLM-5V-Turbo (49). It leads on inputs & features. Trinity Large Thinking wins on context window. 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 priceTrinity Large ThinkingTrinity Large Thinking $0.388 · Nemotron 3 Nano Omni 30B A3B Reasoning $0.40 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · Nemotron 3 Nano Omni 30B A3B Reasoning 256,000 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-Turbo and Nemotron 3 Nano Omni 30B A3B ReasoningGLM-5V-Turbo: Text, Images, PDFs, Video · Nemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video · Trinity Large Thinking: Text
- Self-hostingNemotron 3 Nano Omni 30B A3B Reasoning and Trinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | GLM-5V-Turbo | Nemotron 3 Nano Omni 30B A3B Reasoning | Trinity Large Thinking |
|---|---|---|---|---|
| Price | 50% | 37 | 69 | 69 |
| Inputs & features | 30% | 80 | 90 | 35 |
| Context window | 20% | 32 | 36 | 49 |
| Overall | 100% | 49/100 | 69/100 | 55/100 |
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-5V-TurboZ.ai (Zhipu) | Nemotron 3 Nano Omni 30B A3B ReasoningNVIDIA | Trinity Large ThinkingArcee AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.20 | $0.25 (best) | $0.25 (best) |
| Output | $4.00 | $0.85 | $0.80 (best) |
| Cached input | $0.24 | — | $0.06 (best) |
| Blended (3:1) | $1.90 | $0.40 | $0.388 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 4 providers | Official Arcee API |
| Limits | |||
| Context window | 200,000 tokens | 256,000 tokens | 524,288 tokens (best) |
| Max output | 131,072 tokens | 65,536 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | OpenOpenMDW-1.1 |
| API model ID | glm-5v-turbo | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning | trinity-large-thinking |
| API providers | 14 (best) | 8 | 6 |
| Released | Apr 1, 2026 | Apr 28, 2026 | Apr 1, 2026 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-5V-Turbo$20.00
- Nemotron 3 Nano Omni 30B A3B Reasoning$4.20
- Trinity Large Thinking$4.10
Which should you choose?
Which is better: GLM-5V-Turbo, Nemotron 3 Nano Omni 30B A3B Reasoning or Trinity Large Thinking?
Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against Trinity Large Thinking (55) and GLM-5V-Turbo (49). It leads on inputs & features. Trinity Large Thinking wins on context window. 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-5V-Turbo, Nemotron 3 Nano Omni 30B A3B Reasoning or Trinity Large Thinking?
Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee API price). Nemotron 3 Nano Omni 30B A3B Reasoning costs $0.25 input / $0.85 output per million tokens (median across 4 API providers; free on Nvidia); GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.388 per million tokens for Trinity Large Thinking versus $0.40 for Nemotron 3 Nano Omni 30B A3B Reasoning (1× as much) and $1.90 for GLM-5V-Turbo (4.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-5V-Turbo has not been scored yet, Nemotron 3 Nano Omni 30B A3B Reasoning has not been scored yet and Trinity Large Thinking has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5V-Turbo, Nemotron 3 Nano Omni 30B A3B Reasoning and Trinity Large Thinking 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?
Trinity Large Thinking has the largest context window at 524,288 tokens, against 256,000 for Nemotron 3 Nano Omni 30B A3B Reasoning and 200,000 for GLM-5V-Turbo. Maximum output per response: GLM-5V-Turbo up to 131,072, Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536, Trinity Large Thinking up to 262,144 tokens.
Which can read images, PDFs, audio or video?
GLM-5V-Turbo accepts text, images, PDFs and video; Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; Trinity Large Thinking accepts text. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
Nemotron 3 Nano Omni 30B A3B Reasoning and Trinity Large Thinking publishes its weights (OpenMDW-1.1) and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
Nemotron 3 Nano Omni 30B A3B Reasoning is the newest, released Apr 28, 2026. GLM-5V-Turbo came out Apr 1, 2026; Trinity Large Thinking came out Apr 1, 2026.
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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