Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, MoonshotAI: Kimi K2.7 Code (batch) is more budget-friendly at $2/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
Auto-discovered from OpenRouter (moonshotai/kimi-k2.7-code:batch). Preview until a second source matches.
Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.
Single model data
No latency data
$2 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | MoonshotAI: Kimi K2.7 Code (batch) | Qwen3.8 27B | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 152 tok/s | — |
| Input price | $0.475/1M | $0.45/1M | Qwen3.8 27B (+$0.025/1M) |
| Output price | $3.2/1M | MoonshotAI: Kimi K2.7 Code (batch) (+$1.2/1M) | |
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
MoonshotAI: Kimi K2.7 Code (batch) is estimated to save $17.12/month ($205/year).
Need SWE-bench on both sides.
Lower output list price ($2/1M).
Need TTFT on both sides.
Larger window (262k).
Qwen3.8 27B is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | MoonshotAI: Kimi K2.7 Code (batch) | Lower output list price ($2/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | MoonshotAI: Kimi K2.7 Code (batch) | Larger window (262k). |
| Screenshots / vision | Qwen3.8 27B | Qwen3.8 27B is the side marked multimodal in the catalog. |
No comments posted on this matchup yet. Be the first to share an evaluation note!
The real PNG is generated at /compare/kimi-k2-7-code-batch-vs-qwen-3-8-27b/opengraph-image for crawlers.
Verified head-to-head card
