Nemotron 3 Ultra 550B A55B vs Qwen3 Coder Next

It is close. Our weighted score puts them within a point (Qwen3 Coder Next 51/100, Nemotron 3 Ultra 550B A55B 50/100), so choose by what matters most for your work: Qwen3 Coder Next on price and Nemotron 3 Ultra 550B A55B for long inputs. 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.

Qwen3 Coder Next is cheaper at $0.20 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). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Qwen3 Coder Next versus $1.00 for Nemotron 3 Ultra 550B A55B (2.2× as much).

There is no independent benchmark that covers both models yet. Nemotron 3 Ultra 550B A55B has an ECI of 146.2 and Qwen3 Coder Next has not been scored yet.

There are no published SWE-bench Verified results for Nemotron 3 Ultra 550B A55B and Qwen3 Coder Next yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Nemotron 3 Ultra 550B A55B has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3 Coder Next. Maximum output per response: Nemotron 3 Ultra 550B A55B up to 128,000, Qwen3 Coder Next up to 65,536 tokens.

Nemotron 3 Ultra 550B A55B accepts text; Qwen3 Coder Next accepts text. They handle the same number of input types.

Yes, both publish their weights, so you can self-host them.

Nemotron 3 Ultra 550B A55B is the newest, released Jun 4, 2026. Qwen3 Coder Next came out Feb 3, 2026. Knowledge cutoff: Qwen3 Coder Next Sep 2025.

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.