Nemotron Nano 9B v2 vs Qwen Flash
Qwen Flash comes out ahead, 68 to 64 on our weighted score, though Nemotron Nano 9B v2 is 25% cheaper per token.
NVIDIANemotron Nano 9B v2
64/100- ECI—
- Price$0.06 / $0.23
- Context131K
- Our pick
Alibaba (Qwen)Qwen Flash
68/100- ECI—
- Price$0.05 / $0.40
- Context1M
Add a model
Make it a three-way comparison.
Qwen Flash is our pick
Qwen Flash is the better all-round choice, scoring 68/100 against Nemotron Nano 9B v2 (64). It leads on context window. Nemotron Nano 9B v2 wins on price. 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 priceNemotron Nano 9B v2Nemotron Nano 9B v2 $0.102 · Qwen Flash $0.138 per 1M tokens (3:1 blend)
- Longest contextQwen FlashQwen Flash 1,000,000 · Nemotron Nano 9B v2 131,072 tokens
- Widest inputsSame inputsNemotron Nano 9B v2: Text · Qwen Flash: Text
- Self-hostingNemotron Nano 9B v2Publishes downloadable weights
| Measure | Weight | Nemotron Nano 9B v2 | Qwen Flash |
|---|---|---|---|
| Price | 50% | 97 | 91 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 24 | 60 |
| Overall | 100% | 64/100 | 68/100 |
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 Nano 9B v2NVIDIA | Qwen FlashAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.06 | $0.05 (best) |
| Output | $0.23 (best) | $0.40 |
| Cached input | — | — |
| Blended (3:1) | $0.102 (best) | $0.138 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Alibaba API |
| Limits | ||
| Context window | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | nvidia/nvidia-nemotron-nano-9b-v2 | qwen-flash |
| API providers | 4 | 6 (best) |
| Released | Aug 18, 2025 | Jul 28, 2025 |
| Knowledge cutoff | — | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nemotron Nano 9B v2$1.06
- Qwen Flash$1.30
Which should you choose?
Which is better: Nemotron Nano 9B v2 or Qwen Flash?
Qwen Flash is the better all-round choice, scoring 68/100 against Nemotron Nano 9B v2 (64). It leads on context window. Nemotron Nano 9B v2 wins on price. 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 Nano 9B v2 or Qwen Flash?
Nemotron Nano 9B v2 is cheaper at $0.06 input / $0.23 output per million tokens (median across 3 API providers; free on Nvidia). Qwen Flash costs $0.05 input / $0.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.102 per million tokens for Nemotron Nano 9B v2 versus $0.138 for Qwen Flash (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron Nano 9B v2 has not been scored yet and Qwen Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron Nano 9B v2 and Qwen 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?
Qwen Flash has the largest context window at 1,000,000 tokens, against 131,072 for Nemotron Nano 9B v2. Maximum output per response: Nemotron Nano 9B v2 up to 131,072, Qwen Flash up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Nemotron Nano 9B v2 accepts text; Qwen Flash accepts text. They handle the same number of input types.
Are any of these open source?
Nemotron Nano 9B v2 publishes its weights and can be self-hosted; Qwen Flash is proprietary.
Which is newer?
Nemotron Nano 9B v2 is the newest, released Aug 18, 2025. Qwen Flash came out Jul 28, 2025. Knowledge cutoff: Qwen Flash Apr 2024.
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.
