Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, Gemini 3.7 Flash delivers higher overall intelligence and human-preferred responses (Elo 1,530 vs 1,515), while Gemini 3.7 Flash leads in SWE-bench software engineering benchmarks (72.4%), while Kimi K2.5 Max is more budget-friendly at $2/1M per 1M output tokens, while Gemini 3.7 Flash provides faster response streaming (215 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 direct benchmark disciplines evaluated across capability, speed, and cost
Google Aug 13 2026 workhorse. Official intro price $0.75/$3.75 per 1M through Dec 31 2026; 1,048,576-token context (Google blog).
Moonshot flagship reasoning model with high-fidelity coding, deep thinking, and tool use across a 200k context.
Currently comparing Gemini 3.7 Flash vs Kimi K2.5 Max. Alternative family tiers available.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 15 Arena Elo pts
215 tok/s
$2 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
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 | Gemini 3.7 Flash | Kimi K2.5 Max | Advantage Delta |
|---|---|---|---|
| Preference Elo | +15 | ||
| Coding Elo | +26 | ||
| LiveBench | +2.4% | ||
| SWE-bench | +1.1% | ||
| GPQA Diamond | +6.4% | ||
| Time to first token | +188 ms | ||
| Output speed | 215 tok/s | 72 tok/s | +143 tok/s |
| Input price | $0.75/1M | $0.5/1M | +$0.25/1M |
| Output price | $3.75/1M | +$1.75/1M | |
| Context window | +849k |
Simulate monthly production API costs in USD (US Dollar).
Kimi K2.5 Max is estimated to save $35.00/month ($420/year).
Higher SWE-bench (72.4%).
Lower output list price ($2/1M).
Lower TTFT (82 ms).
Larger window (1M).
Both accept images. Defaulting to the higher-Elo side (Gemini 3.7 Flash).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3.7 Flash | Higher SWE-bench (72.4%). |
| High-volume chat | Kimi K2.5 Max | Lower output list price ($2/1M). |
| Voice / low-latency UI | Gemini 3.7 Flash | Lower TTFT (82 ms). |
| Long-document RAG | Gemini 3.7 Flash | Larger window (1M). |
| Screenshots / vision | Gemini 3.7 Flash | Both accept images. Defaulting to the higher-Elo side (Gemini 3.7 Flash). |
3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.
Jul 21 workhorse that inherited $0.75/$3.75 through year-end. Keep the row; 3.7 is the newer sibling.
Google’s current workhorse drop. Official intro list and 1,048,576-token context. Compare to Luna and Haiku.
2M context, Pro-class Elo and coding. Upgrade path from Flash is this page, not a vibe check.
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Verified Head-to-Head Telemetry
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