Grok 4.6 vs Kimi K2.7 Code Highspeed vs Qwen3.8 2.4T A95B
Too close to call on our weighted score (Grok 4.6 44, Kimi K2.7 Code Highspeed 44, Qwen3.8 2.4T A95B 34). The right pick depends on what you value most.
xAI
Grok 4.6
44/100- ECI156.6
- Price$2.00 / $6.00
- Context500K
Moonshot AI
Kimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
Alibaba (Qwen)
Qwen3.8 2.4T A95B
34/100- ECI—
- Price$2.00 / $6.00
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Grok 4.6 44/100, Kimi K2.7 Code Highspeed 44/100, Qwen3.8 2.4T A95B 34/100), so choose by what matters most for your work: Grok 4.6 on price and Grok 4.6 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 priceGrok 4.6 and Qwen3.8 2.4T A95BGrok 4.6 $3.00 · Qwen3.8 2.4T A95B $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextGrok 4.6Grok 4.6 500,000 · Kimi K2.7 Code Highspeed 262,144 · Qwen3.8 2.4T A95B 262,144 tokens
- Widest inputsKimi K2.7 Code HighspeedGrok 4.6: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video · Qwen3.8 2.4T A95B: Text
- Self-hostingKimi K2.7 Code Highspeed and Qwen3.8 2.4T A95BPublishes downloadable weights (qwen3.8-max)
| Measure | Weight | Grok 4.6 | Kimi K2.7 Code Highspeed | Qwen3.8 2.4T A95B |
|---|---|---|---|---|
| Price | 50% | 27 | 25 | 27 |
| Inputs & features | 30% | 70 | 80 | 45 |
| Context window | 20% | 48 | 37 | 37 |
| Overall | 100% | 44/100 | 44/100 | 34/100 |
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) | 156.6 | — | — |
| ECI rank | #19 of 148 | — | — |
| GPQA DiamondGraduate-level science questions | 94.0% | — | — |
| FrontierMath Tiers 1–3Research-level mathematics | 66.0% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.2% | — | — |
| SimpleQA VerifiedShort factual questions | 49.3% | — | — |
| 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 | — | — |
| 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 | Median of 21 providers |
| Limits | |||
| Context window | 500,000 tokens (best) | 262,144 tokens | 262,144 tokens |
| Max output | 500,000 tokens (best) | 262,144 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Openqwen3.8-max |
| API model ID | grok-4.6 | — | — |
| API providers | 29 (best) | 11 | 21 |
| Released | Aug 12, 2026 | Jun 12, 2026 | Aug 12, 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 2.4T A95B$32.00
Which should you choose?
Which is better: Grok 4.6, Kimi K2.7 Code Highspeed or Qwen3.8 2.4T A95B?
It is close. Our weighted score puts them within a point (Grok 4.6 44/100, Kimi K2.7 Code Highspeed 44/100, Qwen3.8 2.4T A95B 34/100), so choose by what matters most for your work: Grok 4.6 on price and Grok 4.6 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, Grok 4.6, Kimi K2.7 Code Highspeed or Qwen3.8 2.4T A95B?
Grok 4.6 is cheaper at $2.00 input / $6.00 output per million tokens (official xAI API price). Qwen3.8 2.4T A95B costs $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). 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 2.4T A95B (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 2.4T A95B has not been scored yet.
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 2.4T A95B 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?
Grok 4.6 has the largest context window at 500,000 tokens, against 262,144 for Kimi K2.7 Code Highspeed and 262,144 for Qwen3.8 2.4T A95B. Maximum output per response: Grok 4.6 up to 500,000, Kimi K2.7 Code Highspeed up to 262,144, Qwen3.8 2.4T A95B 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 2.4T A95B accepts text. Kimi K2.7 Code Highspeed handles the widest range of inputs.
Are any of these open source?
Kimi K2.7 Code Highspeed and Qwen3.8 2.4T A95B publishes its weights (qwen3.8-max) and can be self-hosted; Grok 4.6 is proprietary.
Which is newer?
Grok 4.6 is the newest, released Aug 12, 2026. Qwen3.8 2.4T A95B came out Aug 12, 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.