Grok 4.6 vs Muse Spark 1.3

At a glance

• Capability index

  • Grok 4.6156.4
  • Muse Spark 1.3156.8

  Muse Spark 1.3 is 0.3 points higher.

• Price per 1M tokens

  • Grok 4.6$3.00
  • Muse Spark 1.3$2.00

  Muse Spark 1.3 is 33% cheaper.

• Context window

  • Grok 4.6500K tokens
  • Muse Spark 1.31M tokens

  Muse Spark 1.3 takes in 2.1 times as much.

• Released

  • Grok 4.6Aug 12, 2026
  • Muse Spark 1.3Sep 2, 2026

  Muse Spark 1.3 is 21 days newer.

Where each scores higher

On the 20 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.

Level on Mock AIME 2024–2025.

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

Everything side by side

Comparison of Grok 4.6 vs Muse Spark 1.3

Measure	Grok 4.6xAI	Muse Spark 1.3Meta AI
Model
Maker	xAI	Meta AI
Sold here by	xAI	DevPass (LLM Gateway)
API model ID	grok-4.6	muse-spark-1.3
Released	Aug 12, 2026	Sep 2, 2026
Knowledge cutoff	Feb 1, 2026	Not reported
Weights	Closed: hosted access only	Closed: hosted access only
Developer’s country	United States	United States
Hosts selling it	35including xAI directly	11
Test results
Capability index	156.4#21 of 274	156.8 (best of these models)#19 of 274
LiveBench overall	78.0%#18 of 66	81.6% (best of these models)#7 of 66
Arena text	1454#73 of 413	1494 (best of these models)#9 of 413
LiveBench coding	76.8%#42 of 66	81.1% (best of these models)#17 of 66
Arena WebDev	1620#23 of 138	1657 (best of these models)#14 of 138
Arena coding	1507#64 of 408	1539 (best of these models)#11 of 408
LiveBench mathematics	92.6%#25 of 66	96.0% (best of these models)#12 of 66
Mock AIME 2024–2025	99.2%#15 of 297	99.2%#15 of 297
FrontierMath Tiers 1–3	66.0%#28 of 114	74.4% (best of these models)#19 of 114
FrontierMath Tier 4	31.7%#33 of 70	46.3% (best of these models)#25 of 70
Arena math	1448#78 of 396	1509 (best of these models)#9 of 396
SimpleQA Verified	49.3%#27 of 86	Not tested
LiveBench agentic coding	57.0%#22 of 66	64.1% (best of these models)#9 of 66
DeepSWE	67.5%#20 of 69	Not tested
CursorBench	41.4%#24 of 62	41.6% (best of these models)#22 of 62
LiveBench language	83.7% (best of these models)#19 of 66	82.8%#24 of 66
LiveBench instructions	71.9%#20 of 66	78.0% (best of these models)#4 of 66
Arena creative writing	1445#52 of 411	1459 (best of these models)#28 of 411
Arena instruction following	1451#63 of 413	1486 (best of these models)#16 of 413
LiveBench data analysis	73.9%#40 of 66	79.6% (best of these models)#12 of 66
LiveBench reasoning	90.5% (best of these models)#12 of 66	89.7%#15 of 66
GPQA Diamond	94.0%#11 of 319	Not tested
Chess puzzles	40.0% (best of these models)#24 of 227	38.0%#32 of 227
Arena hard prompts	1479#67 of 413	1517 (best of these models)#10 of 413
Price per million tokens
Input	$2.00	$1.25 (best of these models)
Output	$6.00	$4.25 (best of these models)
Blended, 3 input to 1 output	$3.00	$2.00 (best of these models)
Cached input	$0.50	$0.15 (best of these models)
Long requests	$4.00 in, $12.00 outabove 200K tokens	No separate price reported
The maker’s own price	This listing	Not sold directly
Limits
Context window	500K tokens	1M tokens (best of these models)
Max input	372K tokens	1M tokens (best of these models)
Max output	500K tokens (best of these models)	131.1K tokens
Features
Reads	images, PDFs and text	audio, images, PDFs, text and video
Produces	text	text
Reasoning	Yeseffort low, medium, high, xhigh	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.