Is Gemini 4 Carbon better than Muse Wonder Full?

Gemini 4 Carbon (high) and Muse Wonder Full (max) are neck and neck on quality (65.1 vs 62.1, within the ±6.8 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 29 Oct 2026, so check the category scores for your use.

Is Gemini 4 Carbon or Muse Wonder Full better for coding?

Gemini 4 Carbon scores higher in coding (72 vs 70 on the category index, where 50 is average). On FrontierCode 2.0 (AA), the top shared coding benchmark, it is 40.6% for Gemini 4 Carbon against 37.8% for Muse Wonder Full.

Which is better for long documents?

Muse Wonder Full scores higher on long-context benchmarks (67 vs 65). Both accept 1,000,000 tokens of context.

When was Gemini 4 Carbon released?

Gemini 4 Carbon was released on 28 Oct 2026.

Gemini 4 Carbon vs Muse Wonder Full

Full profiles: Gemini 4 Carbon (Google) and Muse Wonder Full (Meta): every benchmark, price and rank.

Updated 29 Oct 2026 · Data from 4 sources

As of 29 Oct 2026, Gemini 4 Carbon and Muse Wonder Full are neck and neck on quality (65.1 vs 62.1 on the BenchLeader Index, inside the ±6.8 margin). Choose Gemini 4 Carbon for knowledge (76 vs 63), reasoning (79 vs 67), and coding (72 vs 70); choose Muse Wonder Full for long context (67 vs 65).

Key facts (as of 29 Oct 2026)

Gemini 4 Carbon scores 65.1 on the BenchLeader Index and Muse Wonder Full scores 62.1 (BenchLeader, 29 Oct 2026).
Gemini 4 Carbon costs $8.00 per 1M tokens blended (list price, 29 Oct 2026).
Of the 25 benchmarks both models have, Gemini 4 Carbon leads 20 (BenchLeader, 29 Oct 2026).

Gemini 4 Carbon benchmarks high Google

Muse Wonder Full benchmarks max Meta Open in the comparison tool

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use case	Pick	Why	Confidence
Coding	Gemini 4 Carbon	72 vs 70 category score; FrontierCode 2.0 (AA) 40.6% vs 37.8%	Medium
Reasoning	Gemini 4 Carbon	79 vs 67 category score; HLE-Diamond (AA) 69.1% vs 48.5%	High
Knowledge	Gemini 4 Carbon	76 vs 63 category score; AA-Omniscience v1.1 53.5 vs 30.6	High
Long documents	Muse Wonder Full	67 vs 65 category score; AA-LCR v1.1 83.7% vs 79.3%	Medium
High volume on a budget	Neither flagship	A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs	–

Key differences

Gemini 4 Carbon (high) and Muse Wonder Full (max) are neck and neck on quality (65.1 vs 62.1, within the ±6.8 margin).
Gemini 4 Carbon (high) is stronger in coding, knowledge, reasoning.
Muse Wonder Full (max) is stronger in long context.

At a glance

Spec	Gemini 4 Carbon	Muse Wonder Full
Developer	Google	Meta
Released	28 Oct 2026	12 Oct 2026
Context window (tokens)	1,000,000	1,000,000
Compared at	Gemini 4 Carbon (high)	Muse Wonder Full (max)
Open weights	No	No
Price in / out / cached input per 1M	$4.00 / $20.00 / –	–

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

Category	Gemini 4 Carbon (high)	Muse Wonder Full (max)	Leader
Reasoning	78.9	66.6	Gemini 4 Carbon
Coding	71.7	70.2	Gemini 4 Carbon
Knowledge	75.8	63.0	Gemini 4 Carbon
Long context	64.5	66.7	Muse Wonder Full

Where sources disagree

Across the 25 benchmarks both have, Gemini 4 Carbon leads 20, Muse Wonder Full leads 5. Every overall index that rates both puts Gemini 4 Carbon ahead.

Overall index	Gemini 4 Carbon (high)	Muse Wonder Full (max)	Leader
BenchLeader Index	65.1	62.1	neck and neck
AA Intelligence Index v5.0	59.4	49.7	Gemini 4 Carbon
Vals Index	70.4	66.8	Gemini 4 Carbon

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

Measure	Gemini 4 Carbon (high)	Muse Wonder Full (max)
Blended price per 1M tokens	$8.00	–
Input / output per 1M	$4.00 / $20.00	– / –
Price per task: chat reply	$0.0076	–
Price per task: summarize a 30-page report	$0.060	–
Price per task: code edit	$0.054	–
Price per task: agentic coding session	$0.320	–
Price per task: structured extraction	$0.012	–
Cost to run a full benchmark suite	$7.76	–
Output speed	100 tok/s	–
Time to first answer	103.1 s	–
Time to a complete answer	108.1 s	–

Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Carbon (high) scores 65.1 and takes 103 s to its first answer token. Muse Wonder Full (max) scores 62.1. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

57 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

Metric	Publisher	Gemini 4 Carbon (high)	Muse Wonder Full (max)
BenchLeader Index	BenchLeader	65.1	62.1
Coding score	BenchLeader	71.7	70.2
Knowledge score	BenchLeader	75.8	63.0
Long context score	BenchLeader	64.5	66.7
Reasoning score	BenchLeader	78.9	66.6
Blended price $/M	BenchLeader	$8.00	–
Output speed	BenchLeader	100 tok/s	–
Time to first answer	BenchLeader	103.1 s	–
Context window	BenchLeader	1,000,000 tokens	1,000,000 tokens
Reasoning
Humanity's Last Exam (AA)	Artificial Analysis	60.4%	53.6%
HLE-Diamond (AA)	Artificial Analysis	69.1%	48.5%
CritPt	Artificial Analysis	36.0%	32.9%
CritPt v2 hard subset (AA)	Artificial Analysis	63.0%	53.0%
MysteryMechanism	Vals AI	–	35.1%
Coding
SciCode	SciCode	64.2%	–
Arena WebDev	Arena (LMArena)	–	1726
SciCode (AA)	Artificial Analysis	64.2%	62.6%
IOI	Vals AI	–	79.8%
Code Migration	Vals AI	–	61.0%
Code Migration v1.1	Vals AI	–	62.8%
ProgramBench	Vals AI	–	0.5%
SWE-bench Multimodal	Vals AI	–	47.3%
Vibe Code Bench 1-100	Vals AI	–	34.0%
Vibe Code Bench v1.1	Vals AI	89.1%	86.0%
Terminal-Bench 4.0 (AA)	Artificial Analysis	65.2%	57.1%
FrontierCode 1.1 (AA)	Artificial Analysis	48.5%	44.9%
FrontierCode 2.0 (AA)	Artificial Analysis	40.6%	37.8%
Agents & tools
GDPval-AA v2.1	Artificial Analysis	–	67.8%
CyberBench	Vals AI	–	73.6%
Finance Agent v2	Vals AI	–	59.1%
Finance Agent v2.1	Vals AI	67.2%	67.6%
Harvey's Legal Agent Benchmark v1.1	Vals AI	17.5%	23.3%
Harvey's Legal Agent Benchmark v1	Vals AI	–	21.7%
Legal Research Bench	Vals AI	55.8%	53.4%

Show all 57 benchmarks

Metric	Publisher	Gemini 4 Carbon (high)	Muse Wonder Full (max)
Agents & tools
Robo-bench	Vals AI	–	10.4%
SREBench	Vals AI	–	11.8%
Tax Agent Bench	Vals AI	48.9%	43.0%
Terminal-Bench 4.0 (Vals)	Vals AI	63.1%	58.1%
Terminal-Bench Science	Vals AI	–	37.1%
Vending-Bench 2	Andon Labs	16484.2†	–
AutomationBench	Artificial Analysis	77.8%	71.3%
GDP.pdf (AA)	Artificial Analysis	28.4%	32.6%
Harvey LAB-AA v1.1	Harvey	–	13.1%
AA-Briefcase v1.1	Artificial Analysis	1609	1729
Terminal-Bench-Science 0.1 (AA)	Artificial Analysis	64.8%	37.1%
Knowledge
AA-Omniscience v1.1	Artificial Analysis	53.5	30.6
LegalBench	Vals AI	–	87.4%
BioMysteryBench	Vals AI	–	73.3%
Excel Modeling Benchmark	Vals AI	–	71.9%
Excel Modeling Benchmark v1.1	Vals AI	76.5%	75.0%
MedCode	Vals AI	–	49.9%
MedScribe	Vals AI	–	89.3%
Public Benefits Bench v1.1	Vals AI	–	73.8%
AA-Omniscience v1.1: accuracy	Artificial Analysis	58.3%	41.0%
AA-Omniscience v1.1: non-hallucination	Artificial Analysis	88.6%	82.4%
Multimodal
Blueprint-Bench 2	Epoch AI Benchmarking Hub	58.6%†	–
Long context
AA-LCR v1.1	Artificial Analysis	79.3%	83.7%
MLCR	Artificial Analysis	–	22.2%
Composite
AA Intelligence Index v5.0	Artificial Analysis	59.4	49.7
AA Intelligence Index v4.3.2	Artificial Analysis	–	55.8
AA Progress Index v1	Artificial Analysis	351.6	343.2
Vals Index	Vals AI	70.4	66.8
Vals Finance Index	Vals AI	66.3%	64.5%
Vals RSI Index	Vals AI	–	24.4%
Vals Science Index	Vals AI	–	48.5%
Vals Router Index	Vals AI	–	66.8%†

Data as of 2026-10-29. Best configuration of each model; every score links to its source on the model pages.

What changed

29 Oct 2026 Muse Wonder Full (max): BenchLeader Index 62.6 → 62.1.
28 Oct 2026 Muse Wonder Full (max): 6 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 2 score revisions.
24 Oct 2026 Muse Wonder Full (max): 1 new result (Terminal-Bench-Science 0.1 (AA)).
23 Oct 2026 Muse Wonder Full (max): 9 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
21 Oct 2026 Muse Wonder Full (max): 1 new result (FrontierCode 1.1 (AA)).
20 Oct 2026 Muse Wonder Full (max): 1 new result (Arena WebDev); 2 score revisions.
16 Oct 2026 Muse Wonder Full (max): 21 new results (IOI, LegalBench, Vals Index…).
14 Oct 2026 Muse Wonder Full (max): 1 new result (Harvey LAB-AA v1.1).
13 Oct 2026 Muse Wonder Full (max): first results.

Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs