Nemotron 3 Nano Omni 30B A3B Reasoning vs Claude Opus 5 vs Trinity Large Thinking
Nemotron 3 Nano Omni 30B A3B Reasoning comes out ahead, 69 to 55 and 37 on our weighted score.
- Our pick
NVIDIANemotron 3 Nano Omni 30B A3B Reasoning
69/100- ECI—
- Price$0.25 / $0.85
- Context256K
AnthropicClaude Opus 5
37/100- ECI162.9
- Price$5.00 / $25.00
- Context1M
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 Claude Opus 5 (37). It leads on inputs & features. Claude Opus 5 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 · Claude Opus 5 $10.00 per 1M tokens (3:1 blend)
- Longest contextClaude Opus 5Claude Opus 5 1,000,000 · Trinity Large Thinking 524,288 · Nemotron 3 Nano Omni 30B A3B Reasoning 256,000 tokens
- Widest inputsNemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video · Claude Opus 5: Text, Images, PDFs · Trinity Large Thinking: Text
- Self-hostingNemotron 3 Nano Omni 30B A3B Reasoning and Trinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | Nemotron 3 Nano Omni 30B A3B Reasoning | Claude Opus 5 | Trinity Large Thinking |
|---|---|---|---|---|
| Price | 50% | 69 | 2 | 69 |
| Inputs & features | 30% | 90 | 80 | 35 |
| Context window | 20% | 36 | 60 | 49 |
| Overall | 100% | 69/100 | 37/100 | 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 | Nemotron 3 Nano Omni 30B A3B ReasoningNVIDIA | Claude Opus 5Anthropic | Trinity Large ThinkingArcee AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 162.9 | — |
| ECI rank | — | #5 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 93.9% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 85.6% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 98.9% | — |
| SimpleQA VerifiedShort factual questions | — | 59.9% | — |
| Price per million tokens | |||
| Input | $0.25 (best) | $5.00 | $0.25 (best) |
| Output | $0.85 | $25.00 | $0.80 (best) |
| Cached input | — | $0.50 | $0.06 (best) |
| Blended (3:1) | $0.40 | $10.00 | $0.388 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Official Anthropic API | Official Arcee API |
| Limits | |||
| Context window | 256,000 tokens | 1,000,000 tokens (best) | 524,288 tokens |
| Max output | 65,536 tokens | 128,000 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | OpenOpenMDW-1.1 |
| API model ID | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning | claude-opus-5 | trinity-large-thinking |
| API providers | 8 | 35 (best) | 6 |
| Released | Apr 28, 2026 | Jul 24, 2026 | Apr 1, 2026 |
| Knowledge cutoff | — | May 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nemotron 3 Nano Omni 30B A3B Reasoning$4.20
- Claude Opus 5$100.00
- Trinity Large Thinking$4.10
Which should you choose?
Which is better: Nemotron 3 Nano Omni 30B A3B Reasoning, Claude Opus 5 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 Claude Opus 5 (37). It leads on inputs & features. Claude Opus 5 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, Nemotron 3 Nano Omni 30B A3B Reasoning, Claude Opus 5 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); Claude Opus 5 costs $5.00 input / $25.00 output per million tokens (official Anthropic 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 $10.00 for Claude Opus 5 (26× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron 3 Nano Omni 30B A3B Reasoning has not been scored yet, Claude Opus 5 has an ECI of 162.9 and Trinity Large Thinking has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3 Nano Omni 30B A3B Reasoning, Claude Opus 5 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?
Claude Opus 5 has the largest context window at 1,000,000 tokens, against 524,288 for Trinity Large Thinking and 256,000 for Nemotron 3 Nano Omni 30B A3B Reasoning. Maximum output per response: Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536, Claude Opus 5 up to 128,000, Trinity Large Thinking up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; Claude Opus 5 accepts text, images and PDFs; Trinity Large Thinking accepts text. Nemotron 3 Nano Omni 30B A3B Reasoning 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; Claude Opus 5 is proprietary.
Which is newer?
Claude Opus 5 is the newest, released Jul 24, 2026. Nemotron 3 Nano Omni 30B A3B Reasoning came out Apr 28, 2026; Trinity Large Thinking came out Apr 1, 2026. Knowledge cutoff: Claude Opus 5 May 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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