Qwen3.8 2.4T A95B vs Qwen 3.8 Max Prime vs Kimi K2.7 Code Highspeed
Too close to call on our weighted score (Kimi K2.7 Code Highspeed 44, Qwen 3.8 Max Prime 42, Qwen3.8 2.4T A95B 34). The right pick depends on what you value most.
Alibaba (Qwen)
Qwen3.8 2.4T A95B
34/100- ECI—
- Price$2.00 / $6.00
- Context262K
Alibaba (Qwen)
Qwen 3.8 Max Prime
42/100- ECI—
- Price$4.00 / $12.00
- Context1M
Moonshot AI
Kimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
Too close to call
It is close. Our weighted score puts them within 1 points (Kimi K2.7 Code Highspeed 44/100, Qwen 3.8 Max Prime 42/100, Qwen3.8 2.4T A95B 34/100), so choose by what matters most for your work: Qwen3.8 2.4T A95B on price and Qwen 3.8 Max Prime for long inputs. 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 priceQwen3.8 2.4T A95BQwen3.8 2.4T A95B $3.00 · Kimi K2.7 Code Highspeed $3.42 · Qwen 3.8 Max Prime $6.00 per 1M tokens (3:1 blend)
- Longest contextQwen 3.8 Max PrimeQwen 3.8 Max Prime 1,000,000 · Qwen3.8 2.4T A95B 262,144 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsQwen 3.8 Max Prime and Kimi K2.7 Code HighspeedQwen3.8 2.4T A95B: Text · Qwen 3.8 Max Prime: Text, Images, Video · Kimi K2.7 Code Highspeed: Text, Images, Video
- Self-hostingQwen3.8 2.4T A95B and Kimi K2.7 Code HighspeedPublishes downloadable weights (qwen3.8-max)
| Measure | Weight | Qwen3.8 2.4T A95B | Qwen 3.8 Max Prime | Kimi K2.7 Code Highspeed |
|---|---|---|---|---|
| Price | 50% | 27 | 13 | 25 |
| Inputs & features | 30% | 45 | 80 | 80 |
| Context window | 20% | 37 | 60 | 37 |
| Overall | 100% | 34/100 | 42/100 | 44/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.00 | $4.00 | $1.90 (best) |
| Output | $6.00 (best) | $12.00 | $8.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.00 (best) | $6.00 | $3.42 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 21 providers | Median of 4 providers | Median of 11 providers |
| Limits | |||
| Context window | 262,144 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 131,072 tokens | 131,072 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Openqwen3.8-max | Proprietary | Open |
| API model ID | — | — | — |
| API providers | 21 (best) | 4 | 11 |
| Released | Aug 12, 2026 | Sep 23, 2026 | Jun 12, 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.
Qwen3.8 2.4T A95B$32.00
Qwen 3.8 Max Prime$64.00
Kimi K2.7 Code Highspeed$35.00
Which should you choose?
Which is better: Qwen3.8 2.4T A95B, Qwen 3.8 Max Prime or Kimi K2.7 Code Highspeed?
It is close. Our weighted score puts them within 1 points (Kimi K2.7 Code Highspeed 44/100, Qwen 3.8 Max Prime 42/100, Qwen3.8 2.4T A95B 34/100), so choose by what matters most for your work: Qwen3.8 2.4T A95B on price and Qwen 3.8 Max Prime for long inputs. 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, Qwen3.8 2.4T A95B, Qwen 3.8 Max Prime or Kimi K2.7 Code Highspeed?
Qwen3.8 2.4T A95B is cheaper at $2.00 input / $6.00 output per million tokens (median across 21 API providers). Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers); Qwen 3.8 Max Prime costs $4.00 input / $12.00 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Qwen3.8 2.4T A95B versus $3.42 for Kimi K2.7 Code Highspeed (1.1× as much) and $6.00 for Qwen 3.8 Max Prime (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.8 2.4T A95B has not been scored yet, Qwen 3.8 Max Prime has not been scored yet and Kimi K2.7 Code Highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 2.4T A95B, Qwen 3.8 Max Prime and Kimi K2.7 Code Highspeed 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?
Qwen 3.8 Max Prime has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.8 2.4T A95B and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Qwen3.8 2.4T A95B up to 131,072, Qwen 3.8 Max Prime up to 131,072, Kimi K2.7 Code Highspeed up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 2.4T A95B accepts text; Qwen 3.8 Max Prime accepts text, images and video; Kimi K2.7 Code Highspeed accepts text, images and video. Qwen 3.8 Max Prime handles the widest range of inputs.
Are any of these open source?
Qwen3.8 2.4T A95B and Kimi K2.7 Code Highspeed publishes its weights (qwen3.8-max) and can be self-hosted; Qwen 3.8 Max Prime is proprietary.
Which is newer?
Qwen 3.8 Max Prime is the newest, released Sep 23, 2026. Qwen3.8 2.4T A95B came out Aug 12, 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.