Llama 3.3 Nemotron Super 49B v1.5 vs Qwen3 Coder Flash
Too close to call on our weighted score (Llama 3.3 Nemotron Super 49B v1.5 50, Qwen3 Coder Flash 50). The right pick depends on what you value most.
NVIDIA
Llama 3.3 Nemotron Super 49B v1.5
50/100- ECI—
- Price$0.40 / $0.40
- Context131K
Alibaba (Qwen)
Qwen3 Coder Flash
50/100- ECI—
- Price$0.30 / $1.50
- Context1M
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Llama 3.3 Nemotron Super 49B v1.5 50/100, Qwen3 Coder Flash 50/100), so choose by what matters most for your work: Llama 3.3 Nemotron Super 49B v1.5 on price and Qwen3 Coder Flash 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.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceLlama 3.3 Nemotron Super 49B v1.5Llama 3.3 Nemotron Super 49B v1.5 $0.40 · Qwen3 Coder Flash $0.60 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder FlashQwen3 Coder Flash 1,000,000 · Llama 3.3 Nemotron Super 49B v1.5 131,072 tokens
- Widest inputsSame inputsLlama 3.3 Nemotron Super 49B v1.5: Text · Qwen3 Coder Flash: Text
- Self-hostingLlama 3.3 Nemotron Super 49B v1.5Publishes downloadable weights
| Measure | Weight | Llama 3.3 Nemotron Super 49B v1.5 | Qwen3 Coder Flash |
|---|---|---|---|
| Price | 50% | 69 | 60 |
| Inputs & features | 30% | 35 | 25 |
| Context window | 20% | 24 | 60 |
| Overall | 100% | 50/100 | 50/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.40 | $0.30 (best) |
| Output | $0.40 (best) | $1.50 |
| Cached input | — | — |
| Blended (3:1) | $0.40 (best) | $0.60 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Alibaba API |
| Limits | ||
| Context window | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | nvidia/llama-3.3-nemotron-super-49b-v1.5 | qwen3-coder-flash |
| API providers | 2 | 10 (best) |
| Released | Jul 25, 2025 | Jul 28, 2025 |
| Knowledge cutoff | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Llama 3.3 Nemotron Super 49B v1.5$4.80
Qwen3 Coder Flash$6.00
Which should you choose?
Which is better: Llama 3.3 Nemotron Super 49B v1.5 or Qwen3 Coder Flash?
It is close. Our weighted score puts them within a point (Llama 3.3 Nemotron Super 49B v1.5 50/100, Qwen3 Coder Flash 50/100), so choose by what matters most for your work: Llama 3.3 Nemotron Super 49B v1.5 on price and Qwen3 Coder Flash 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.
Which is cheaper, Llama 3.3 Nemotron Super 49B v1.5 or Qwen3 Coder Flash?
Llama 3.3 Nemotron Super 49B v1.5 is cheaper at $0.40 input / $0.40 output per million tokens (median across 1 API provider; free on Nvidia). Qwen3 Coder Flash costs $0.30 input / $1.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.40 per million tokens for Llama 3.3 Nemotron Super 49B v1.5 versus $0.60 for Qwen3 Coder Flash (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Llama 3.3 Nemotron Super 49B v1.5 has not been scored yet and Qwen3 Coder Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama 3.3 Nemotron Super 49B v1.5 and Qwen3 Coder Flash 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.
Which has the bigger context window?
Qwen3 Coder Flash has the largest context window at 1,000,000 tokens, against 131,072 for Llama 3.3 Nemotron Super 49B v1.5. Maximum output per response: Llama 3.3 Nemotron Super 49B v1.5 up to 131,072, Qwen3 Coder Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Llama 3.3 Nemotron Super 49B v1.5 accepts text; Qwen3 Coder Flash accepts text. They handle the same number of input types.
Are any of these open source?
Llama 3.3 Nemotron Super 49B v1.5 publishes its weights and can be self-hosted; Qwen3 Coder Flash is proprietary.
Which is newer?
Qwen3 Coder Flash is the newest, released Jul 28, 2025. Llama 3.3 Nemotron Super 49B v1.5 came out Jul 25, 2025. Knowledge cutoff: Qwen3 Coder Flash Apr 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.