Qwen3.8 Max vs Kimi K2.7 Code Highspeed vs Grok 4.6
Qwen3.8 Max comes out ahead, 53 to 44 and 44 on our weighted score.
- Our pick
Alibaba (Qwen)Qwen3.8 Max
53/100- ECI156.6
- Price$2.00 / $6.00
- Context1M
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
xAIGrok 4.6
44/100- ECI156.6
- Price$2.00 / $6.00
- Context500K
Qwen3.8 Max is our pick
Qwen3.8 Max is the better all-round choice, scoring 53/100 against Grok 4.6 (44) and Kimi K2.7 Code Highspeed (44). It leads on inputs & features and context window. 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 Max and Grok 4.6Qwen3.8 Max $3.00 · Grok 4.6 $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextQwen3.8 MaxQwen3.8 Max 1,000,000 · Grok 4.6 500,000 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsQwen3.8 MaxQwen3.8 Max: Text, Images, PDFs, Video · Kimi K2.7 Code Highspeed: Text, Images, Video · Grok 4.6: Text, Images
- Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | Qwen3.8 Max | Kimi K2.7 Code Highspeed | Grok 4.6 |
|---|---|---|---|---|
| Price | 50% | 27 | 25 | 27 |
| Inputs & features | 30% | 90 | 80 | 70 |
| Context window | 20% | 60 | 37 | 48 |
| Overall | 100% | 53/100 | 44/100 | 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 | Qwen3.8 MaxAlibaba (Qwen) | Kimi K2.7 Code HighspeedMoonshot AI | Grok 4.6xAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 156.6 | — | 156.6 (best) |
| ECI rank | #20 of 148 | — | #19 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 92.7% | — | 94.0% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 74.7% (best) | — | 66.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.4% (best) | — | 99.2% |
| SimpleQA VerifiedShort factual questions | 45.8% | — | 49.3% (best) |
| Price per million tokens | |||
| Input | $2.00 | $1.90 (best) | $2.00 |
| Output | $6.00 (best) | $8.00 | $6.00 (best) |
| Cached input | $0.25 (best) | — | $0.50 |
| Blended (3:1) | $3.00 (best) | $3.42 | $3.00 (best) |
| Long-context rate | Same rate | Same rate | Over 200K: $4.00 / $12.00 |
| Price source | Official Alibaba API | Median of 11 providers | Official xAI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 262,144 tokens | 500,000 tokens |
| Max output | 131,072 tokens | 262,144 tokens | 500,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yeslow · medium · xhigh | Yes | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | qwen3.8-max | — | grok-4.6 |
| API providers | 25 | 11 | 29 (best) |
| Released | Aug 3, 2026 | Jun 12, 2026 | Aug 12, 2026 |
| Knowledge cutoff | — | Jan 2025 | Feb 1, 2026 |
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 Max$32.00
- Kimi K2.7 Code Highspeed$35.00
- Grok 4.6$32.00
Which should you choose?
Which is better: Qwen3.8 Max, Kimi K2.7 Code Highspeed or Grok 4.6?
Qwen3.8 Max is the better all-round choice, scoring 53/100 against Grok 4.6 (44) and Kimi K2.7 Code Highspeed (44). It leads on inputs & features and context window. 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 Max, Kimi K2.7 Code Highspeed or Grok 4.6?
Qwen3.8 Max is cheaper at $2.00 input / $6.00 output per million tokens (official Alibaba API price). Grok 4.6 costs $2.00 input / $6.00 output per million tokens (official xAI 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 $3.00 per million tokens for Qwen3.8 Max versus $3.00 for Grok 4.6 (1× as much) and $3.42 for Kimi K2.7 Code Highspeed (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.8 Max has an ECI of 156.6, Kimi K2.7 Code Highspeed has not been scored yet and Grok 4.6 has an ECI of 156.6.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 Max, Kimi K2.7 Code Highspeed and Grok 4.6 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?
Qwen3.8 Max has the largest context window at 1,000,000 tokens, against 500,000 for Grok 4.6 and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Qwen3.8 Max up to 131,072, Kimi K2.7 Code Highspeed up to 262,144, Grok 4.6 up to 500,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 Max accepts text, images, PDFs and video; Kimi K2.7 Code Highspeed accepts text, images and video; Grok 4.6 accepts text and images. Qwen3.8 Max handles the widest range of inputs.
Are any of these open source?
Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Qwen3.8 Max and Grok 4.6 is proprietary.
Which is newer?
Grok 4.6 is the newest, released Aug 12, 2026. Qwen3.8 Max came out Aug 3, 2026; Kimi K2.7 Code Highspeed came out Jun 12, 2026. Knowledge cutoff: Kimi K2.7 Code Highspeed Jan 2025, Grok 4.6 Feb 1, 2026.
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.
