GPT-5.6 Sol vs Nemotron 3 Nano Omni 30B A3B Reasoning vs 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 GPT-5.6 Sol (40). It leads on inputs & features. GPT-5.6 Sol 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.

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); GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI 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 $8.00 for GPT-5.6 Sol (21× as much).

There is no independent benchmark that covers all three models yet. GPT-5.6 Sol has an ECI of 161.8, Nemotron 3 Nano Omni 30B A3B Reasoning has not been scored yet and Trinity Large Thinking has not been scored yet.

There are no published SWE-bench Verified results for GPT-5.6 Sol, 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.

GPT-5.6 Sol has the largest context window at 1,050,000 tokens, against 524,288 for Trinity Large Thinking and 256,000 for Nemotron 3 Nano Omni 30B A3B Reasoning. Maximum output per response: GPT-5.6 Sol up to 128,000, Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536, Trinity Large Thinking up to 262,144 tokens.

GPT-5.6 Sol accepts text, images and PDFs; Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; Trinity Large Thinking accepts text. Nemotron 3 Nano Omni 30B A3B Reasoning handles the widest range of inputs.

Nemotron 3 Nano Omni 30B A3B Reasoning and Trinity Large Thinking publishes its weights (OpenMDW-1.1) and can be self-hosted; GPT-5.6 Sol is proprietary.

GPT-5.6 Sol is the newest, released Jul 9, 2026. Nemotron 3 Nano Omni 30B A3B Reasoning came out Apr 28, 2026; Trinity Large Thinking came out Apr 1, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 2026.

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.