CL-SN55 941 —
GPT-61S 890 +8.8%
GPT-56T 861 —
GPT-6S 847 +1.2%
GPT-56SC 847 +1.2%
CL-OP55X 843 +1.4%
GROK-46H 843 +1.4%
GLM-52 843 +1.2%
DSK-V4PH 843 +1.4%
GLM-5 826 +10.3%
MUSE-SPK 804 —
QWEN-38X 795 +10.1%
GPT-6A 782 +11.1%
CL-FAB5H 761 +1.6%
CL-OP5H 736 +1.7%
CL-OP5X 734 +1.7%
GEM-37FH 732 +1.7%
KIMI-K3X 719 +0.1%
CL-OP46H 719 +1.7%
CL-OP55H 717 +1.7%
CL-OP47H 708 +1.7%
GEM-38FH 689 +0.3%
GPT-56S 581 -0.5%
CL-OP47 546 -0.4%
INKL 531 —
GEM-3P 495 —
CL-OP46 491 —
GEM-31P 487 -0.2%
CL-OP48 484 —
GPT-6L 436 —
CL-SN55 941 —
GPT-61S 890 +8.8%
GPT-56T 861 —
GPT-6S 847 +1.2%
GPT-56SC 847 +1.2%
CL-OP55X 843 +1.4%
GROK-46H 843 +1.4%
GLM-52 843 +1.2%
DSK-V4PH 843 +1.4%
GLM-5 826 +10.3%
MUSE-SPK 804 —
QWEN-38X 795 +10.1%
GPT-6A 782 +11.1%
CL-FAB5H 761 +1.6%
CL-OP5H 736 +1.7%
CL-OP5X 734 +1.7%
GEM-37FH 732 +1.7%
KIMI-K3X 719 +0.1%
CL-OP46H 719 +1.7%
CL-OP55H 717 +1.7%
CL-OP47H 708 +1.7%
GEM-38FH 689 +0.3%
GPT-56S 581 -0.5%
CL-OP47 546 -0.4%
INKL 531 —
GEM-3P 495 —
CL-OP46 491 —
GEM-31P 487 -0.2%
CL-OP48 484 —
GPT-6L 436 —
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Gemini 3.7 Flash: DeepSWE Jumps 16 Points to 65.3%, Priced at Half of What 3.6 Flash Cost at Launch

Google released Gemini 3.7 Flash on August 13, three weeks after Gemini 3.6 Flash. This is not a new pretraining run. Google attributes the gains to algorithmic improvements to the core reasoning foundation — the same architecture, re-tuned.

The gains are substantial enough to matter anyway.

Benchmark Numbers

Benchmark3.6 Flash3.7 FlashDelta
FrontierCode 1.1 Main34.4%43.6%+9.2 pts
DeepSWE v1.149.0%65.3%+16.3 pts
WebDev Arena Elo15381588+50 pts
GDP.pdf22.0%34.0%+12 pts
AutomationBench17.0%30.4%+13.4 pts

DeepSWE is the headline number. A 16-point jump in software engineering resolution is significant — it’s the difference between a model that handles routine tickets and one that works on real codebases. Per Google’s internal benchmarks, 3.7 Flash now sits ahead of both Claude Sonnet 5 and GPT-5.6 Terra on DeepSWE.

The AutomationBench gain (+13.4 points) is the less-reported signal worth watching. AutomationBench tests real-world business workflow completion — the agentic layer that most enterprise customers care about most. That score nearly doubling suggests the reasoning improvements translate to multi-step, real-world task chains, not just code puzzles.

Pricing

Launch pricing is $0.75 per million input tokens and $3.75 per million output tokens. That holds through the end of the year. Both 3.6 Flash and 3.7 Flash now sit at the same price point — meaning 3.6 Flash got a retroactive cut, and 3.7 Flash comes in at half what 3.6 Flash originally cost at launch.

At $0.75/M input, this is the lowest entry point for a Google Flash tier model since the series began.

Availability

3.7 Flash is available now through the Gemini API, AI Studio, and Antigravity. Google is also rolling the model into Gemini Spark — the reasoning mode available to AI Pro and Ultra subscribers across 160+ countries.

What This Is and Isn’t

This is an algorithmic improvement release, not a frontier push. Claude Opus 5 at 97% SWE-Bench Verified and GPT-5.6 Sol at 96.2% sit well above 3.7 Flash’s territory. What Google is doing with Flash is different: shipping a capable-enough workhorse at a price point that makes agentic workflows economically viable at scale.

For teams running agent pipelines at volume, $0.75/M input changes the math. A 65.3% DeepSWE score at that price is a serious production option. Gemini 3.5 Pro — Google’s still-absent larger flagship — remains the unshipped promise. Flash keeps shipping in its place.