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 1,358), while Gemini 3.7 Flash leads in SWE-bench software engineering benchmarks (72.4%), while DeepSeek R1 is more budget-friendly at $2.19/1M 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.
9 direct benchmark disciplines evaluated across capability, speed, and cost
Open-weights reasoning model trained with large-scale RL.
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).
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 172 Arena Elo pts
215 tok/s
$2.19 / 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 | DeepSeek R1 | Gemini 3.7 Flash | Advantage Delta |
|---|---|---|---|
| Preference Elo | +172 | ||
| Coding Elo | — | — | |
| LiveBench | +10.6% | ||
| SWE-bench | +7.2% | ||
| GPQA Diamond | +1.4% | ||
| Time to first token | +338 ms | ||
| Output speed | 62 tok/s | 215 tok/s | +153 tok/s |
| Input price | $0.55/1M | $0.75/1M | +$0.2/1M |
| Output price | $2.19/1M | $3.75/1M | +$1.56/1M |
| Context window | +921k |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek R1 is estimated to save $30.40/month ($365/year).
Higher SWE-bench (72.4%).
Lower output list price ($2.19/1M).
Lower TTFT (82 ms).
Larger window (1M).
Gemini 3.7 Flash is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3.7 Flash | Higher SWE-bench (72.4%). |
| High-volume chat | DeepSeek R1 | Lower output list price ($2.19/1M). |
| 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 | Gemini 3.7 Flash is the side marked multimodal in the catalog. |
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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