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