Kimi K2.7 Code Highspeed vs Sakana Namazu vs Seed 2.1 Pro
Too close to call on our weighted score (Sakana Namazu 51, Seed 2.1 Pro 50, Kimi K2.7 Code Highspeed 44). The right pick depends on what you value most.
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
Sakana AI
Sakana Namazu
51/100- ECI—
- Price$0.95 / $4.00
- Context262K
ByteDance SeedSeed 2.1 Pro
50/100- ECI—
- Price$0.891 / $4.45
- Context256K
Too close to call
It is close. Our weighted score puts them within a point (Sakana Namazu 51/100, Seed 2.1 Pro 50/100, Kimi K2.7 Code Highspeed 44/100), so choose by what matters most for your work: Sakana Namazu 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 priceSakana NamazuSakana Namazu $1.71 · Seed 2.1 Pro $1.78 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextKimi K2.7 Code Highspeed and Sakana NamazuKimi K2.7 Code Highspeed 262,144 · Sakana Namazu 262,144 · Seed 2.1 Pro 256,000 tokens
- Widest inputsSame inputsKimi K2.7 Code Highspeed: Text, Images, Video · Sakana Namazu: Text, Images, PDFs · Seed 2.1 Pro: Text, Images, Video
- Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | Kimi K2.7 Code Highspeed | Sakana Namazu | Seed 2.1 Pro |
|---|---|---|---|---|
| Price | 50% | 25 | 39 | 38 |
| Inputs & features | 30% | 80 | 80 | 80 |
| Context window | 20% | 37 | 37 | 36 |
| Overall | 100% | 44/100 | 51/100 | 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 | Kimi K2.7 Code HighspeedMoonshot AI | Sakana NamazuSakana AI | Seed 2.1 ProByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.90 | $0.95 | $0.891 (best) |
| Output | $8.00 | $4.00 (best) | $4.45 |
| Cached input | — | $0.15 (best) | $0.178 |
| Blended (3:1) | $3.42 | $1.71 (best) | $1.78 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 11 providers | Official Sakana AI API | Official Volcengine Ark API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 256,000 tokens |
| Max output | 262,144 tokens (best) | 65,536 tokens | 256,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | sakana-namazu | doubao-seed-2-1-pro-260628 |
| API providers | 11 (best) | 5 | 2 |
| Released | Jun 12, 2026 | Aug 3, 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.
- Kimi K2.7 Code Highspeed$35.00
- Sakana Namazu$17.50
- Seed 2.1 Pro$17.81
Which should you choose?
Which is better: Kimi K2.7 Code Highspeed, Sakana Namazu or Seed 2.1 Pro?
It is close. Our weighted score puts them within a point (Sakana Namazu 51/100, Seed 2.1 Pro 50/100, Kimi K2.7 Code Highspeed 44/100), so choose by what matters most for your work: Sakana Namazu 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, Kimi K2.7 Code Highspeed, Sakana Namazu or Seed 2.1 Pro?
Sakana Namazu is cheaper at $0.95 input / $4.00 output per million tokens (official Sakana AI API price). Seed 2.1 Pro costs $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 $1.71 per million tokens for Sakana Namazu versus $1.78 for Seed 2.1 Pro (1× as much) and $3.42 for Kimi K2.7 Code Highspeed (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Kimi K2.7 Code Highspeed has not been scored yet, Sakana Namazu 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 Kimi K2.7 Code Highspeed, Sakana Namazu 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?
Kimi K2.7 Code Highspeed and Sakana Namazu 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, Sakana Namazu up to 65,536, Seed 2.1 Pro up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K2.7 Code Highspeed accepts text, images and video; Sakana Namazu accepts text, images and PDFs; Seed 2.1 Pro accepts text, images and video. They handle the same number of input types.
Are any of these open source?
Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Sakana Namazu and Seed 2.1 Pro is proprietary.
Which is newer?
Sakana Namazu is the newest, released Aug 3, 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.
