Kimi K2.7 Code Highspeed vs Kimi K2.8 Preview vs Qwen3.8 Max Preview
Too close to call on our weighted score (Kimi K2.8 Preview 66, Qwen3.8 Max Preview 66, Kimi K2.7 Code Highspeed 63). The right pick depends on what you value most.
Moonshot AIKimi K2.7 Code Highspeed
63/100- ECI—
- Price$1.90 / $8.00
- Context262K
- Moonshot AI
Kimi K2.8 Preview
66/100- ECI—
- Price—
- Context1.05M
Alibaba (Qwen)Qwen3.8 Max Preview
66/100- ECI—
- Price$2.00 / $6.00
- Context1M
Too close to call
It is close. Our weighted score puts them within a point (Kimi K2.8 Preview 66/100, Qwen3.8 Max Preview 66/100, Kimi K2.7 Code Highspeed 63/100), so choose by what matters most for your work: Qwen3.8 Max Preview on price and Kimi K2.8 Preview for long inputs. 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 priceQwen3.8 Max PreviewQwen3.8 Max Preview $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend) · Kimi K2.8 Preview unpriced
- Longest contextKimi K2.8 PreviewKimi K2.8 Preview 1,048,576 · Qwen3.8 Max Preview 1,000,000 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsSame inputsKimi K2.7 Code Highspeed: Text, Images, Video · Kimi K2.8 Preview: Text, Images, Video · Qwen3.8 Max Preview: Text, Images, Video
- Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | Kimi K2.7 Code Highspeed | Kimi K2.8 Preview | Qwen3.8 Max Preview |
|---|---|---|---|---|
| Inputs & features | 60% | 80 | 70 | 70 |
| Context window | 40% | 37 | 61 | 60 |
| Overall | 100% | 63/100 | 66/100 | 66/100 |
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 | Kimi K2.7 Code HighspeedMoonshot AI | Kimi K2.8 PreviewMoonshot AI | Qwen3.8 Max PreviewAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.90 (best) | — | $2.00 |
| Output | $8.00 | — | $6.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.42 | — | $3.00 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 11 providers | — | Median of 6 providers |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 262,144 tokens (best) | — | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | — | — |
| API providers | 11 (best) | — | 6 |
| Released | Jun 12, 2026 | Sep 11, 2026 | Jul 19, 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
- Kimi K2.8 Preview—
- Qwen3.8 Max Preview$32.00
Which should you choose?
Which is better: Kimi K2.7 Code Highspeed, Kimi K2.8 Preview or Qwen3.8 Max Preview?
It is close. Our weighted score puts them within a point (Kimi K2.8 Preview 66/100, Qwen3.8 Max Preview 66/100, Kimi K2.7 Code Highspeed 63/100), so choose by what matters most for your work: Qwen3.8 Max Preview on price and Kimi K2.8 Preview for long inputs. 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, Kimi K2.7 Code Highspeed, Kimi K2.8 Preview or Qwen3.8 Max Preview?
Qwen3.8 Max Preview is cheaper at $2.00 input / $6.00 output per million tokens (median across 6 API providers). 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 $3.00 per million tokens for Qwen3.8 Max Preview versus $3.42 for Kimi K2.7 Code Highspeed (1.1× as much). Kimi K2.8 Preview has no published per-token price.
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, Kimi K2.8 Preview has not been scored yet and Qwen3.8 Max Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2.7 Code Highspeed, Kimi K2.8 Preview and Qwen3.8 Max Preview 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 K2.8 Preview has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.8 Max Preview and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Kimi K2.7 Code Highspeed up to 262,144, Qwen3.8 Max Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Kimi K2.7 Code Highspeed accepts text, images and video; Kimi K2.8 Preview accepts text, images and video; Qwen3.8 Max Preview 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; Kimi K2.8 Preview and Qwen3.8 Max Preview is proprietary.
Which is newer?
Kimi K2.8 Preview is the newest, released Sep 11, 2026. Qwen3.8 Max Preview came out Jul 19, 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.
