Gemini 3.7 Flash vs Muse Spark 1.3

At a glance

• Capability index

  • Gemini 3.7 Flash157.3
  • Muse Spark 1.3156.8

  Gemini 3.7 Flash is 0.5 points higher.

• Price per 1M tokens

  • Gemini 3.7 Flash$1.50
  • Muse Spark 1.3$2.00

  Gemini 3.7 Flash is 25% cheaper.

• Context window

  • Gemini 3.7 Flash1M tokens
  • Muse Spark 1.31M tokens

  They take in about the same.

• Released

  • Gemini 3.7 FlashAug 13, 2026
  • Muse Spark 1.3Sep 2, 2026

  Muse Spark 1.3 is 20 days newer.

Where each scores higher

On the 19 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.

4 more tests have results for only one of them; the table below lists every result.

Everything side by side

Comparison of Gemini 3.7 Flash vs Muse Spark 1.3

Measure	Gemini 3.7 FlashGoogle	Muse Spark 1.3Meta AI
Model
Maker	Google	Meta AI
Sold here by	Google	DevPass (LLM Gateway)
API model ID	gemini-3.7-flash	muse-spark-1.3
Released	Aug 13, 2026	Sep 2, 2026
Knowledge cutoff	Mar 2026	Not reported
Weights	Closed: hosted access only	Closed: hosted access only
Developer’s country	United States	United States
Hosts selling it	29including Google directly	11
Test results
Capability index	157.3 (best of these models)#16 of 274	156.8#19 of 274
LiveBench overall	78.8%#16 of 66	81.6% (best of these models)#7 of 66
Arena text	1488#17 of 413	1494 (best of these models)#9 of 413
LiveBench coding	78.9%#29 of 66	81.1% (best of these models)#17 of 66
Arena WebDev	1592#27 of 138	1657 (best of these models)#14 of 138
Arena coding	1518#41 of 408	1539 (best of these models)#11 of 408
LiveBench mathematics	93.5%#20 of 66	96.0% (best of these models)#12 of 66
Mock AIME 2024–2025	97.2%#31 of 297	99.2% (best of these models)#15 of 297
FrontierMath Tiers 1–3	71.6%#23 of 114	74.4% (best of these models)#19 of 114
FrontierMath Tier 4	36.6%#30 of 70	46.3% (best of these models)#25 of 70
Arena math	1503#12 of 396	1509 (best of these models)#9 of 396
SimpleQA Verified	69.2%#9 of 86	Not tested
LiveBench agentic coding	58.3%#19 of 66	64.1% (best of these models)#9 of 66
DeepSWE	65.5%#25 of 69	Not tested
CursorBench	Not tested	41.6%#22 of 62
LiveBench language	85.5% (best of these models)#13 of 66	82.8%#24 of 66
LiveBench instructions	79.9% (best of these models)#2 of 66	78.0%#4 of 66
Arena creative writing	1493 (best of these models)#5 of 411	1459#28 of 411
Arena instruction following	1485#17 of 413	1486 (best of these models)#16 of 413
LiveBench data analysis	68.0%#55 of 66	79.6% (best of these models)#12 of 66
LiveBench reasoning	87.8%#25 of 66	89.7% (best of these models)#15 of 66
GPQA Diamond	94.8%#5 of 319	Not tested
Chess puzzles	47.0% (best of these models)#14 of 227	38.0%#32 of 227
Arena hard prompts	1508#19 of 413	1517 (best of these models)#10 of 413
Price per million tokens
Input	$0.75 (best of these models)	$1.25
Output	$3.75 (best of these models)	$4.25
Blended, 3 input to 1 output	$1.50 (best of these models)	$2.00
Cached input	$0.075 (best of these models)	$0.15
Audio input	$0.75	Not reported
The maker’s own price	This listing	Not sold directly
Limits
Context window	1M tokens	1M tokens
Max input	936K tokens	1M tokens (best of these models)
Max output	65.5K tokens	131.1K tokens (best of these models)
Features
Reads	audio, images, PDFs, text and video	audio, images, PDFs, text and video
Produces	text	text
Reasoning	Yeseffort low, medium, high	Yeseffort minimal, low, medium, high, xhigh
Tool calling	Yes	Yes
Structured output	Yes, such as JSON	Yes, such as JSON
File attachments	Yes	Yes
Temperature setting	Supported	Supported

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), Cursor CursorBench, 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.