Gemini 3.7 Flash vs GPT-6 Astra

At a glance

• Capability index

  • Gemini 3.7 Flash157.3
  • GPT-6 Astra166.4

  GPT-6 Astra is 9.2 points higher.

• Price per 1M tokens

  • Gemini 3.7 Flash$1.50
  • GPT-6 Astra$20.00

  Gemini 3.7 Flash is 13 times cheaper.

• Context window

  • Gemini 3.7 Flash1M tokens
  • GPT-6 Astra1.1M tokens

  GPT-6 Astra takes in 0% more.

• Released

  • Gemini 3.7 FlashAug 13, 2026
  • GPT-6 AstraSep 4, 2026

  GPT-6 Astra is 22 days newer.

Where each scores higher

On the 22 tests both have taken, each on its own scale. A gap of a point or two can sit within a test’s margin of error.

Everything side by side

Comparison of Gemini 3.7 Flash vs GPT-6 Astra

Measure	Gemini 3.7 FlashGoogle	GPT-6 AstraOpenAI
Model
Maker	Google	OpenAI
Sold here by	Google	OpenAI
API model ID	gemini-3.7-flash	gpt-6-astra
Released	Aug 13, 2026	Sep 4, 2026
Knowledge cutoff	Mar 2026	Apr 30, 2026
Weights	Closed: hosted access only	Closed: hosted access only
Developer’s country	United States	United States
Hosts selling it	29including Google directly	29including OpenAI directly
Training compute	Not published	1.0 × 10²⁷ FLOPEpoch AI estimate
Test results
Capability index	157.3#16 of 274	166.4 (best of these models)#2 of 274
LiveBench overall	78.8%#16 of 66	82.2% (best of these models)#4 of 66
Arena text	1488 (best of these models)#17 of 413	1477#29 of 413
LiveBench coding	78.9%#29 of 66	80.4% (best of these models)#20 of 66
Arena WebDev	1592#27 of 138	1788 (best of these models)#2 of 138
Arena coding	1518#41 of 408	1543 (best of these models)#7 of 408
LiveBench mathematics	93.5%#20 of 66	96.8% (best of these models)#4 of 66
Mock AIME 2024–2025	97.2%#31 of 297	100.0% (best of these models)#1 of 297
FrontierMath Tiers 1–3	71.6%#23 of 114	93.7% (best of these models)#1 of 114
FrontierMath Tier 4	36.6%#30 of 70	97.6% (best of these models)#2 of 70
Arena math	1503 (best of these models)#12 of 396	1490#27 of 396
SimpleQA Verified	69.2%#9 of 86	75.6% (best of these models)#1 of 86
LiveBench agentic coding	58.3% (best of these models)#19 of 66	57.3%#21 of 66
DeepSWE	65.5%#25 of 69	74.1% (best of these models)#1 of 69
LiveBench language	85.5%#13 of 66	89.4% (best of these models)#4 of 66
LiveBench instructions	79.9% (best of these models)#2 of 66	75.6%#8 of 66
Arena creative writing	1493 (best of these models)#5 of 411	1449#39 of 411
Arena instruction following	1485 (best of these models)#17 of 413	1474#30 of 413
LiveBench data analysis	68.0%#55 of 66	83.0% (best of these models)#1 of 66
LiveBench reasoning	87.8%#25 of 66	92.7% (best of these models)#1 of 66
GPQA Diamond	94.8%#5 of 319	95.8% (best of these models)#1 of 319
Chess puzzles	47.0%#14 of 227	72.0% (best of these models)#1 of 227
Arena hard prompts	1508 (best of these models)#19 of 413	1502#30 of 413
Price per million tokens
Input	$0.75 (best of these models)	$10.00
Output	$3.75 (best of these models)	$50.00
Blended, 3 input to 1 output	$1.50 (best of these models)	$20.00
Cached input	$0.075 (best of these models)	$1.00
Writing to the cache	Not reported	$12.50
Audio input	$0.75	Not reported
Long requests	No separate price reported	$20.00 in, $75.00 outabove 272K tokens
The maker’s own price	This listing	This listing
Limits
Context window	1M tokens	1.1M tokens (best of these models)
Max input	936K tokens (best of these models)	922K tokens
Max output	65.5K tokens	128K tokens (best of these models)
Features
Reads	audio, images, PDFs, text and video	images, PDFs and text
Produces	text	text
Reasoning	Yeseffort low, medium, high	Yeseffort low, medium, high, xhigh, max
Tool calling	Yes	Yes
Structured output	Yes, such as JSON	Yes, such as JSON
File attachments	Yes	Yes
Temperature setting	Supported	Fixed by the provider

Bold marks the better value in each row. Prices are each model’s own list price, or the middle price across hosts when the maker does not sell it, blended as three input tokens for every output token. Test results as published by LiveBench (Apache-2.0), Epoch AI (CC BY 4.0), Datacurve DeepSWE, compiled by Epoch AI (CC BY 4.0), Arena (CC BY 4.0); model details and prices from models.dev (MIT). Confirm pricing with the provider before use.