Nemotron 3 Ultra 550B A55B vs Inkling Small vs Qwen3.6 27B
Inkling Small comes out ahead, 70 to 65 and 62 on our weighted score, and it is the cheaper option too.
NVIDIA
Nemotron 3 Ultra 550B A55B
62/100- ECI146.2
- Price$0.50 / $2.50
- Context1M
- Our pick
Thinking Machines
Inkling Small
70/100- ECI150.2
- Price$0.50 / $1.20
- Context1.05M
Alibaba (Qwen)
Qwen3.6 27B
65/100- ECI146.5
- Price$0.60 / $3.60
- Context262K
Inkling Small is our pick
Inkling Small is the better all-round choice, scoring 70/100 against Qwen3.6 27B (65) and Nemotron 3 Ultra 550B A55B (62). It leads on capability and price. Qwen3.6 27B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityInkling SmallCapabilities Index (ECI): Inkling Small 150.2 · Qwen3.6 27B 146.5 · Nemotron 3 Ultra 550B A55B 146.2
- Lowest priceInkling SmallInkling Small $0.675 · Nemotron 3 Ultra 550B A55B $1.00 · Qwen3.6 27B $1.35 per 1M tokens (3:1 blend)
- Longest contextInkling SmallInkling Small 1,048,576 · Nemotron 3 Ultra 550B A55B 1,000,000 · Qwen3.6 27B 262,144 tokens
- Widest inputsQwen3.6 27BNemotron 3 Ultra 550B A55B: Text · Inkling Small: Text, Images, Audio · Qwen3.6 27B: Text, Images, Audio, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron 3 Ultra 550B A55B | Inkling Small | Qwen3.6 27B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 78 | 74 |
| Price | 25% | 50 | 58 | 44 |
| Inputs & features | 15% | 45 | 70 | 90 |
| Context window | 10% | 60 | 61 | 37 |
| Overall | 100% | 62/100 | 70/100 | 65/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.2 | 150.2 (best) | 146.5 |
| ECI rank | #70 of 148 | #47 of 148 (best) | #68 of 148 |
| GPQA DiamondGraduate-level science questions | 85.4% | 88.5% (best) | 85.9% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 46.3% (best) | 35.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | 86.7% | 90.0% | 91.1% (best) |
| SimpleQA VerifiedShort factual questions | — | 19.1% | — |
| Price per million tokens | |||
| Input | $0.50 (best) | $0.50 (best) | $0.60 |
| Output | $2.50 | $1.20 (best) | $3.60 |
| Cached input | $0.15 | — | — |
| Blended (3:1) | $1.00 | $0.675 (best) | $1.35 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Nvidia API | Median of 11 providers | Official Alibaba API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 128,000 tokens | 1,048,576 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | OpenApache-2.0 | Open |
| API model ID | nvidia/nemotron-3-ultra-550b-a55b | — | qwen3.6-27b |
| API providers | 21 | 11 | 27 (best) |
| Released | Jun 4, 2026 | Jul 30, 2026 | Apr 22, 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.
Nemotron 3 Ultra 550B A55B$10.00
Inkling Small$7.40
Qwen3.6 27B$13.20
Which should you choose?
Which is better: Nemotron 3 Ultra 550B A55B, Inkling Small or Qwen3.6 27B?
Inkling Small is the better all-round choice, scoring 70/100 against Qwen3.6 27B (65) and Nemotron 3 Ultra 550B A55B (62). It leads on capability and price. Qwen3.6 27B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Nemotron 3 Ultra 550B A55B, Inkling Small or Qwen3.6 27B?
Inkling Small is cheaper at $0.50 input / $1.20 output per million tokens (median across 11 API providers). 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 $0.675 per million tokens for Inkling Small versus $1.00 for Nemotron 3 Ultra 550B A55B (1.5× as much) and $1.35 for Qwen3.6 27B (2× as much).
Which scores higher on benchmarks?
Inkling Small scores higher on the Capabilities Index (ECI): Inkling Small 150.2 (#47 of 148), Qwen3.6 27B 146.5 (#68 of 148) and Nemotron 3 Ultra 550B A55B 146.2 (#70 of 148). The confidence ranges of the top two overlap (147.5–152.1 vs 144.2–147.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — Inkling Small 88.5%, Qwen3.6 27B 85.9%, Nemotron 3 Ultra 550B A55B 85.4%; OTIS Mock AIME 2024–2025 — Qwen3.6 27B 91.1%, Inkling Small 90.0%, Nemotron 3 Ultra 550B A55B 86.7%.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3 Ultra 550B A55B, Inkling Small and Qwen3.6 27B yet, so there is no like-for-like coding score. On overall capability, Inkling Small 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?
Inkling Small has the largest context window at 1,048,576 tokens, against 1,000,000 for Nemotron 3 Ultra 550B A55B and 262,144 for Qwen3.6 27B. Maximum output per response: Nemotron 3 Ultra 550B A55B up to 128,000, Inkling Small up to 1,048,576, Qwen3.6 27B up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3 Ultra 550B A55B accepts text; Inkling Small accepts text, images and audio; Qwen3.6 27B accepts text, images, audio and video. Qwen3.6 27B handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache-2.0), so you can self-host them.
Which is newer?
Inkling Small is the newest, released Jul 30, 2026. Nemotron 3 Ultra 550B A55B came out Jun 4, 2026; Qwen3.6 27B came out Apr 22, 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.