Seed 1.6 Flash vs Nemotron Nano 9B v2 vs Baichuan M2 32B
Seed 1.6 Flash comes out ahead, 81 to 62 and 58 on our weighted score.
- Our pick
ByteDance SeedSeed 1.6 Flash
81/100- ECI—
- Price$0.022 / $0.223
- Context256K
NVIDIANemotron Nano 9B v2
62/100- ECI—
- Price$0.06 / $0.23
- Context131K
BaichuanBaichuan M2 32B
58/100- ECI—
- Price$0.07 / $0.07
- Context131K
Seed 1.6 Flash is our pick
Seed 1.6 Flash is the better all-round choice, scoring 81/100 against Nemotron Nano 9B v2 (62) and Baichuan M2 32B (58). It leads on inputs & features and context window. 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 priceBaichuan M2 32BBaichuan M2 32B $0.07 · Seed 1.6 Flash $0.072 · Nemotron Nano 9B v2 $0.102 per 1M tokens (3:1 blend)
- Longest contextSeed 1.6 FlashSeed 1.6 Flash 256,000 · Nemotron Nano 9B v2 131,072 · Baichuan M2 32B 131,072 tokens
- Widest inputsSeed 1.6 FlashSeed 1.6 Flash: Text, Images, Video · Nemotron Nano 9B v2: Text · Baichuan M2 32B: Text
- Self-hostingNemotron Nano 9B v2 and Baichuan M2 32BPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Seed 1.6 Flash | Nemotron Nano 9B v2 | Baichuan M2 32B |
|---|---|---|---|---|
| Price | 50% | 100 | 93 | 100 |
| Inputs & features | 30% | 80 | 35 | 10 |
| Context window | 20% | 36 | 25 | 25 |
| Overall | 100% | 81/100 | 62/100 | 58/100 |
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 | Seed 1.6 FlashByteDance Seed | Nemotron Nano 9B v2NVIDIA | Baichuan M2 32BBaichuan |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.022 (best) | $0.06 | $0.07 |
| Output | $0.223 | $0.23 | $0.07 (best) |
| Cached input | $0.0044 | — | — |
| Blended (3:1) | $0.072 | $0.102 | $0.07 (best) |
| Long-context rate | Over 32K: $0.045 / $0.445 | Same rate | Same rate |
| Price source | Official Volcengine Ark API | Median of 3 providers | Median of 1 providers |
| Limits | |||
| Context window | 256,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Max output | 32,000 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | OpenApache-2.0 |
| API model ID | doubao-seed-1-6-flash-250828 | — | — |
| API providers | 5 (best) | 3 | 1 |
| Released | Aug 28, 2025 | Aug 18, 2025 | Aug 13, 2025 |
| Knowledge cutoff | — | Sep 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Seed 1.6 Flash$0.668
- Nemotron Nano 9B v2$1.06
- Baichuan M2 32B$0.84
Which should you choose?
Which is better: Seed 1.6 Flash, Nemotron Nano 9B v2 or Baichuan M2 32B?
Seed 1.6 Flash is the better all-round choice, scoring 81/100 against Nemotron Nano 9B v2 (62) and Baichuan M2 32B (58). It leads on inputs & features and context window. 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, Seed 1.6 Flash, Nemotron Nano 9B v2 or Baichuan M2 32B?
Baichuan M2 32B is cheaper at $0.07 input / $0.07 output per million tokens (median across 1 API provider). Seed 1.6 Flash costs $0.022 input / $0.223 output per million tokens (official Volcengine Ark API price); Nemotron Nano 9B v2 costs $0.06 input / $0.23 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.07 per million tokens for Baichuan M2 32B versus $0.072 for Seed 1.6 Flash (1× as much) and $0.102 for Nemotron Nano 9B v2 (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Seed 1.6 Flash has not been scored yet, Nemotron Nano 9B v2 has not been scored yet and Baichuan M2 32B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Seed 1.6 Flash, Nemotron Nano 9B v2 and Baichuan M2 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Baichuan M2 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Seed 1.6 Flash has the largest context window at 256,000 tokens, against 131,072 for Nemotron Nano 9B v2 and 131,072 for Baichuan M2 32B. Maximum output per response: Seed 1.6 Flash up to 32,000, Nemotron Nano 9B v2 up to 131,072, Baichuan M2 32B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Seed 1.6 Flash accepts text, images and video; Nemotron Nano 9B v2 accepts text; Baichuan M2 32B accepts text. Seed 1.6 Flash handles the widest range of inputs.
Are any of these open source?
Nemotron Nano 9B v2 and Baichuan M2 32B publishes its weights (Apache-2.0) and can be self-hosted; Seed 1.6 Flash is proprietary.
Which is newer?
Seed 1.6 Flash is the newest, released Aug 28, 2025. Nemotron Nano 9B v2 came out Aug 18, 2025; Baichuan M2 32B came out Aug 13, 2025. Knowledge cutoff: Nemotron Nano 9B v2 Sep 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 Nov 2, 2026.
