Ornith 1.0 397B vs Kimi K2.7 Code Highspeed vs Seed 2.1 Pro
Too close to call on our weighted score (Kimi K2.7 Code Highspeed 63, Seed 2.1 Pro 62, Ornith 1.0 397B 51). The right pick depends on what you value most.
DeepReinforce
Ornith 1.0 397B
51/100- ECI—
- Price—
- Context262K
Moonshot AIKimi K2.7 Code Highspeed
63/100- ECI—
- Price$1.90 / $8.00
- Context262K
ByteDance SeedSeed 2.1 Pro
62/100- ECI—
- Price$0.891 / $4.45
- Context256K
Too close to call
It is close. Our weighted score puts them within a point (Kimi K2.7 Code Highspeed 63/100, Seed 2.1 Pro 62/100, Ornith 1.0 397B 51/100), so choose by what matters most for your work: Seed 2.1 Pro on price. The score weighs inputs & features 60%, context window 40%. 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 priceSeed 2.1 ProSeed 2.1 Pro $1.78 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend) · Ornith 1.0 397B unpriced
- Longest contextOrnith 1.0 397B and Kimi K2.7 Code HighspeedOrnith 1.0 397B 262,144 · Kimi K2.7 Code Highspeed 262,144 · Seed 2.1 Pro 256,000 tokens
- Widest inputsKimi K2.7 Code Highspeed and Seed 2.1 ProOrnith 1.0 397B: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video · Seed 2.1 Pro: Text, Images, Video
- Self-hostingOrnith 1.0 397B and Kimi K2.7 Code HighspeedPublishes downloadable weights (MIT)
| Measure | Weight | Ornith 1.0 397B | Kimi K2.7 Code Highspeed | Seed 2.1 Pro |
|---|---|---|---|---|
| Inputs & features | 60% | 60 | 80 | 80 |
| Context window | 40% | 37 | 37 | 36 |
| Overall | 100% | 51/100 | 63/100 | 62/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Ornith 1.0 397BDeepReinforce | Kimi K2.7 Code HighspeedMoonshot AI | Seed 2.1 ProByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $1.90 | $0.891 (best) |
| Output | — | $8.00 | $4.45 (best) |
| Cached input | — | — | $0.178 |
| Blended (3:1) | — | $3.42 | $1.78 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 11 providers | Official Volcengine Ark API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 256,000 tokens |
| Max output | — | 262,144 tokens (best) | 256,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | OpenMIT | Open | Proprietary |
| API model ID | — | — | doubao-seed-2-1-pro-260628 |
| API providers | — | 11 (best) | 2 |
| Released | Jun 25, 2026 | Jun 12, 2026 | Jun 23, 2026 |
| Knowledge cutoff | — | Jan 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ornith 1.0 397B—
- Kimi K2.7 Code Highspeed$35.00
- Seed 2.1 Pro$17.81
Which should you choose?
Which is better: Ornith 1.0 397B, Kimi K2.7 Code Highspeed or Seed 2.1 Pro?
It is close. Our weighted score puts them within a point (Kimi K2.7 Code Highspeed 63/100, Seed 2.1 Pro 62/100, Ornith 1.0 397B 51/100), so choose by what matters most for your work: Seed 2.1 Pro on price. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Ornith 1.0 397B, Kimi K2.7 Code Highspeed or Seed 2.1 Pro?
Seed 2.1 Pro is cheaper at $0.891 input / $4.45 output per million tokens (official Volcengine Ark API price). Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $1.78 per million tokens for Seed 2.1 Pro versus $3.42 for Kimi K2.7 Code Highspeed (1.9× as much). Ornith 1.0 397B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ornith 1.0 397B has not been scored yet, Kimi K2.7 Code Highspeed has not been scored yet and Seed 2.1 Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ornith 1.0 397B, Kimi K2.7 Code Highspeed and Seed 2.1 Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Ornith 1.0 397B and Kimi K2.7 Code Highspeed have the largest context windows (262,144 and 262,144 tokens), against 256,000 for Seed 2.1 Pro. Maximum output per response: Kimi K2.7 Code Highspeed up to 262,144, Seed 2.1 Pro up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Ornith 1.0 397B accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video; Seed 2.1 Pro accepts text, images and video. Kimi K2.7 Code Highspeed handles the widest range of inputs.
Are any of these open source?
Ornith 1.0 397B and Kimi K2.7 Code Highspeed publishes its weights (MIT) and can be self-hosted; Seed 2.1 Pro is proprietary.
Which is newer?
Ornith 1.0 397B is the newest, released Jun 25, 2026. Seed 2.1 Pro came out Jun 23, 2026; Kimi K2.7 Code Highspeed came out Jun 12, 2026. Knowledge cutoff: Kimi K2.7 Code Highspeed Jan 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.
