GPT-5.4 nano vs Nemotron 3 Ultra 550B A55B vs Qwen3.6 27B
Too close to call on our weighted score (GPT-5.4 nano 68, Qwen3.6 27B 65, Nemotron 3 Ultra 550B A55B 62). The right pick depends on what you value most.
OpenAIGPT-5.4 nano
68/100- ECI145.8
- Price$0.20 / $1.25
- Context400K
NVIDIANemotron 3 Ultra 550B A55B
62/100- ECI146.2
- Price$0.50 / $2.50
- Context1M
Alibaba (Qwen)Qwen3.6 27B
65/100- ECI146.5
- Price$0.60 / $3.60
- Context262K
Too close to call
It is close. Our weighted score puts them within 3 points (GPT-5.4 nano 68/100, Qwen3.6 27B 65/100, Nemotron 3 Ultra 550B A55B 62/100), so choose by what matters most for your work: Qwen3.6 27B for raw capability, GPT-5.4 nano on price and Nemotron 3 Ultra 550B A55B for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.6 27BCapabilities Index (ECI): Qwen3.6 27B 146.5 · Nemotron 3 Ultra 550B A55B 146.2 · GPT-5.4 nano 145.8
- Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · Nemotron 3 Ultra 550B A55B $1.00 · Qwen3.6 27B $1.35 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B 1,000,000 · GPT-5.4 nano 400,000 · Qwen3.6 27B 262,144 tokens
- Widest inputsQwen3.6 27BGPT-5.4 nano: Text, Images · Nemotron 3 Ultra 550B A55B: Text · Qwen3.6 27B: Text, Images, Audio, Video
- Self-hostingNemotron 3 Ultra 550B A55B and Qwen3.6 27BPublishes downloadable weights
| Measure | Weight | GPT-5.4 nano | Nemotron 3 Ultra 550B A55B | Qwen3.6 27B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 73 | 74 |
| Price | 25% | 66 | 50 | 44 |
| Inputs & features | 15% | 70 | 45 | 90 |
| Context window | 10% | 44 | 60 | 37 |
| Overall | 100% | 68/100 | 62/100 | 65/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.4 nanoOpenAI | Nemotron 3 Ultra 550B A55BNVIDIA | Qwen3.6 27BAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 145.8 | 146.2 | 146.5 (best) |
| ECI rank | #75 of 148 | #70 of 148 | #68 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 78.5% | 85.4% | 85.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 44.9% (best) | — | 35.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | 87.8% | 86.7% | 91.1% (best) |
| SimpleQA VerifiedShort factual questions | 11.7% | — | — |
| Price per million tokens | |||
| Input | $0.20 (best) | $0.50 | $0.60 |
| Output | $1.25 (best) | $2.50 | $3.60 |
| Cached input | $0.02 (best) | $0.15 | — |
| Blended (3:1) | $0.463 (best) | $1.00 | $1.35 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Nvidia API | Official Alibaba API |
| Limits | |||
| Context window | 400,000 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 128,000 tokens (best) | 128,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | gpt-5.4-nano | nvidia/nemotron-3-ultra-550b-a55b | qwen3.6-27b |
| API providers | 26 | 21 | 27 (best) |
| Released | Mar 17, 2026 | Jun 4, 2026 | Apr 22, 2026 |
| Knowledge cutoff | Aug 31, 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.4 nano$4.50
- Nemotron 3 Ultra 550B A55B$10.00
- Qwen3.6 27B$13.20
Which should you choose?
Which is better: GPT-5.4 nano, Nemotron 3 Ultra 550B A55B or Qwen3.6 27B?
It is close. Our weighted score puts them within 3 points (GPT-5.4 nano 68/100, Qwen3.6 27B 65/100, Nemotron 3 Ultra 550B A55B 62/100), so choose by what matters most for your work: Qwen3.6 27B for raw capability, GPT-5.4 nano on price and Nemotron 3 Ultra 550B A55B for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.4 nano, Nemotron 3 Ultra 550B A55B or Qwen3.6 27B?
GPT-5.4 nano is cheaper at $0.20 input / $1.25 output per million tokens (official OpenAI API price). Nemotron 3 Ultra 550B A55B costs $0.50 input / $2.50 output per million tokens (official Nvidia API price); Qwen3.6 27B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.463 per million tokens for GPT-5.4 nano versus $1.00 for Nemotron 3 Ultra 550B A55B (2.2× as much) and $1.35 for Qwen3.6 27B (2.9× as much).
Which scores higher on benchmarks?
Qwen3.6 27B scores higher on the Capabilities Index (ECI): Qwen3.6 27B 146.5 (#68 of 148), Nemotron 3 Ultra 550B A55B 146.2 (#70 of 148) and GPT-5.4 nano 145.8 (#75 of 148). The confidence ranges of the top two overlap (144.2–147.9 vs 143.9–148.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.6 27B 85.9%, Nemotron 3 Ultra 550B A55B 85.4%, GPT-5.4 nano 78.5%; OTIS Mock AIME 2024–2025 — Qwen3.6 27B 91.1%, GPT-5.4 nano 87.8%, Nemotron 3 Ultra 550B A55B 86.7%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 nano, Nemotron 3 Ultra 550B A55B and Qwen3.6 27B yet, so there is no like-for-like coding score. On overall capability, Qwen3.6 27B 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 400,000 for GPT-5.4 nano and 262,144 for Qwen3.6 27B. Maximum output per response: GPT-5.4 nano up to 128,000, Nemotron 3 Ultra 550B A55B up to 128,000, Qwen3.6 27B up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 nano accepts text and images; Nemotron 3 Ultra 550B A55B accepts text; Qwen3.6 27B accepts text, images, audio and video. Qwen3.6 27B handles the widest range of inputs.
Are any of these open source?
Nemotron 3 Ultra 550B A55B and Qwen3.6 27B publishes its weights and can be self-hosted; GPT-5.4 nano is proprietary.
Which is newer?
Nemotron 3 Ultra 550B A55B is the newest, released Jun 4, 2026. Qwen3.6 27B came out Apr 22, 2026; GPT-5.4 nano came out Mar 17, 2026. Knowledge cutoff: GPT-5.4 nano Aug 31, 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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