Baichuan M2 32B vs Qwen3 235B-A22B Thinking 2507 vs Seed 1.6 Flash
Seed 1.6 Flash comes out ahead, 81 to 58 and 42 on our weighted score.
BaichuanBaichuan M2 32B
58/100- ECI—
- Price$0.07 / $0.07
- Context131K
Alibaba (Qwen)Qwen3 235B-A22B Thinking 2507
42/100- ECI143.8
- Price$0.30 / $2.90
- Context262K
- Our pick
ByteDance SeedSeed 1.6 Flash
81/100- ECI—
- Price$0.022 / $0.223
- Context256K
Seed 1.6 Flash is our pick
Seed 1.6 Flash is the better all-round choice, scoring 81/100 against Baichuan M2 32B (58) and Qwen3 235B-A22B Thinking 2507 (42). It leads on inputs & features. 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 · Qwen3 235B-A22B Thinking 2507 $0.95 per 1M tokens (3:1 blend)
- Longest contextQwen3 235B-A22B Thinking 2507Qwen3 235B-A22B Thinking 2507 262,144 · Seed 1.6 Flash 256,000 · Baichuan M2 32B 131,072 tokens
- Widest inputsSeed 1.6 FlashBaichuan M2 32B: Text · Qwen3 235B-A22B Thinking 2507: Text · Seed 1.6 Flash: Text, Images, Video
- Self-hostingBaichuan M2 32B and Qwen3 235B-A22B Thinking 2507Publishes downloadable weights (Apache-2.0 and Apache 2.0)
| Measure | Weight | Baichuan M2 32B | Qwen3 235B-A22B Thinking 2507 | Seed 1.6 Flash |
|---|---|---|---|---|
| Price | 50% | 100 | 49 | 100 |
| Inputs & features | 30% | 10 | 35 | 80 |
| Context window | 20% | 25 | 37 | 36 |
| Overall | 100% | 58/100 | 42/100 | 81/100 |
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 | Baichuan M2 32BBaichuan | Qwen3 235B-A22B Thinking 2507Alibaba (Qwen) | Seed 1.6 FlashByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 143.8 | — |
| ECI rank | — | #93 of 165 | — |
| GPQA DiamondGraduate-level science questions | — | 80.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 86.7% | — |
| SimpleQA VerifiedShort factual questions | — | 40.4% | — |
| Price per million tokens | |||
| Input | $0.07 | $0.30 | $0.022 (best) |
| Output | $0.07 (best) | $2.90 | $0.223 |
| Cached input | — | — | $0.0044 |
| Blended (3:1) | $0.07 (best) | $0.95 | $0.072 |
| Long-context rate | Same rate | Same rate | Over 32K: $0.045 / $0.445 |
| Price source | Median of 1 providers | Median of 11 providers | Official Volcengine Ark API |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens (best) | 256,000 tokens |
| Max output | 131,072 tokens (best) | 81,920 tokens | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenApache-2.0 | OpenApache 2.0 | Proprietary |
| API model ID | — | — | doubao-seed-1-6-flash-250828 |
| API providers | 1 | 12 (best) | 5 |
| Released | Aug 13, 2025 | Jul 25, 2025 | Aug 28, 2025 |
| 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.
- Baichuan M2 32B$0.84
- Qwen3 235B-A22B Thinking 2507$8.80
- Seed 1.6 Flash$0.668
Which should you choose?
Which is better: Baichuan M2 32B, Qwen3 235B-A22B Thinking 2507 or Seed 1.6 Flash?
Seed 1.6 Flash is the better all-round choice, scoring 81/100 against Baichuan M2 32B (58) and Qwen3 235B-A22B Thinking 2507 (42). It leads on inputs & features. 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, Baichuan M2 32B, Qwen3 235B-A22B Thinking 2507 or Seed 1.6 Flash?
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); Qwen3 235B-A22B Thinking 2507 costs $0.30 input / $2.90 output per million tokens (median across 11 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 $0.95 for Qwen3 235B-A22B Thinking 2507 (14× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Baichuan M2 32B has not been scored yet, Qwen3 235B-A22B Thinking 2507 has an ECI of 143.8 and Seed 1.6 Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Baichuan M2 32B, Qwen3 235B-A22B Thinking 2507 and Seed 1.6 Flash 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?
Qwen3 235B-A22B Thinking 2507 has the largest context window at 262,144 tokens, against 256,000 for Seed 1.6 Flash and 131,072 for Baichuan M2 32B. Maximum output per response: Baichuan M2 32B up to 131,072, Qwen3 235B-A22B Thinking 2507 up to 81,920, Seed 1.6 Flash up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Baichuan M2 32B accepts text; Qwen3 235B-A22B Thinking 2507 accepts text; Seed 1.6 Flash accepts text, images and video. Seed 1.6 Flash handles the widest range of inputs.
Are any of these open source?
Baichuan M2 32B and Qwen3 235B-A22B Thinking 2507 publishes its weights (Apache-2.0 and 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. Baichuan M2 32B came out Aug 13, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 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 Nov 2, 2026.
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