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Gemini 2.5 Pro vs Llama 4 Maverick

Gemini 2.5 Pro leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 16.1 to 9.3, and Llama 4 Maverick costs 10.0x less per output token ($1.00 vs $10.00 per million). Updated October 22, 2026; 70 benchmarks have a result for both.

Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
70
Llama 4 MaverickMeta Llama
Coding
No data
Overall
21.8
Output $/M
$1.00
0
vs boards won of 70 shared

Gemini 2.5 Pro or Llama 4 Maverick: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding.

Pick Llama 4 Maverick for output tokens 10.0x cheaper ($1.00 vs $10.00 per million).

Shared results
70
Gemini 2.5 Pro only
20
Llama 4 Maverick only
15
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 2.5 Pro 19.1 from 3 benchmarks, Llama 4 Maverick not benchmarked.
Widest category
Math, 47.1 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Gemini 2.5 Pro 87.7 against Llama 4 Maverick 19.3, 68.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Llama 4 Maverick $1.00 per million output tokens, 10.0x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, Llama 4 Maverick 524K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 2.5 ProBarsLlama 4 MaverickTies
Coding80
Intelligence20
Agentic work20
Reasoning100
Math40
Knowledge80
Web design60
General300
All shared boards700
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
Aider polyglotNot measured15.6%Only Llama 4 Maverick measured
SWE-bench Verified53.6%21.0%Gemini 2.5 Pro
LMArena WebDev1226Not measuredOnly Gemini 2.5 Pro measured
AA Coding Index33.316.3Gemini 2.5 Pro
LiveCodeBench (Vals AI)Not measured47.3%Only Llama 4 Maverick measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%39.7%Gemini 2.5 Pro
SciCode46.3%31.7%Gemini 2.5 Pro
Terminal-Bench Hard (Artificial Analysis run)26.5%6.8%Gemini 2.5 Pro
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%24.5%Gemini 2.5 Pro
ALE-BenchNot measured173.0Only Llama 4 Maverick measured
LMArena Text: coding14521301Gemini 2.5 Pro
LMArena Text: software and IT14591299Gemini 2.5 Pro
LMArena WebDev: HTML1235Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
AA Intelligence Index16.19.3Gemini 2.5 Pro
Epoch Capabilities Index145.1132.2Gemini 2.5 Pro
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
AA Agentic Index1.60.6Gemini 2.5 Pro
τ²-Bench Telecom54.1%17.8%Gemini 2.5 Pro
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
GPQA DiamondNot measured69.4%Only Llama 4 Maverick measured
MMMU Pro (Vals AI)Not measured71.7%Only Llama 4 Maverick measured
GPQA Diamond (Artificial Analysis run)84.4%67.1%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%4.9%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%4.4%Gemini 2.5 Pro
ARC-AGI-24.9%0.0%Gemini 2.5 Pro
SimpleBenchNot measured27.7%Only Llama 4 Maverick measured
LMArena Text: hard prompts14551281Gemini 2.5 Pro
LMArena Text: expert14521259Gemini 2.5 Pro
LMArena Text: hard prompts in English14531295Gemini 2.5 Pro
LMArena Vision: diagrams12741134Gemini 2.5 Pro
LMArena Vision: homework12811164Gemini 2.5 Pro
Kagi LLM Benchmark70.3%55.9%Gemini 2.5 Pro
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
AIMENot measured25.2%Only Llama 4 Maverick measured
MATH 500 (Vals AI)Not measured85.2%Only Llama 4 Maverick measured
MGSM (Vals AI)Not measured92.4%Only Llama 4 Maverick measured
AA Math Index87.719.3Gemini 2.5 Pro
AIME 2025 (Artificial Analysis run)87.7%19.3%Gemini 2.5 Pro
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501299Gemini 2.5 Pro
LMArena Text: mathematical work14541295Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
MMLU ProNot measured79.4%Only Llama 4 Maverick measured
LegalBench (Vals AI)Not measured77.8%Only Llama 4 Maverick measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%49.7%Gemini 2.5 Pro
TaxEval (Vals AI)Not measured66.6%Only Llama 4 Maverick measured
MortgageTax (Vals AI)68.9%58.5%Gemini 2.5 Pro
MedQA (Vals AI)Not measured43.3%Only Llama 4 Maverick measured
MedCode (Vals AI)50.6%36.5%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%80.9%Gemini 2.5 Pro
GeoBenchNot measured52.0%Only Llama 4 Maverick measured
LMArena Text: science14801288Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761275Gemini 2.5 Pro
LMArena Text: legal and government14801286Gemini 2.5 Pro
LMArena Text: business and finance14391260Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
Design Arena: websites1167871Gemini 2.5 Pro
Design Arena: UI components1137896Gemini 2.5 Pro
Design Arena: game dev1111837Gemini 2.5 Pro
Design Arena: data viz1222882Gemini 2.5 Pro
Design Arena: 3D1080900Gemini 2.5 Pro
Design Arena: all code categories1152879Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index300
General benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
SAGE (Vals AI)41.9%35.7%Gemini 2.5 Pro
MedScribe (Vals AI)73.5%54.2%Gemini 2.5 Pro
IFBench48.7%43.0%Gemini 2.5 Pro
Long context reasoning (AA-LCR)69.0%50.0%Gemini 2.5 Pro
DTBench82.4%61.9%Gemini 2.5 Pro
LMCA34.8%15.9%Gemini 2.5 Pro
Fiction.LiveBenchNot measured46.2%Only Llama 4 Maverick measured
Creative writing (Lech Mazur)83.8%62.0%Gemini 2.5 Pro
LMArena Text14581287Gemini 2.5 Pro
LMArena Text: instruction following14371267Gemini 2.5 Pro
LMArena Text: creative writing14541266Gemini 2.5 Pro
LMArena Vision12631142Gemini 2.5 Pro
LMArena Text: English14581303Gemini 2.5 Pro
LMArena Text: non-English14521269Gemini 2.5 Pro
LMArena Text: Chinese15071277Gemini 2.5 Pro
LMArena Text: German14871291Gemini 2.5 Pro
LMArena Text: Japanese14611206Gemini 2.5 Pro
LMArena Text: Korean14341203Gemini 2.5 Pro
LMArena Text: French14731259Gemini 2.5 Pro
LMArena Text: Spanish14741293Gemini 2.5 Pro
LMArena Text: Russian14611286Gemini 2.5 Pro
LMArena Text: Polish14791275Gemini 2.5 Pro
LMArena Text: multi-turn14531289Gemini 2.5 Pro
LMArena Text: longer queries14491280Gemini 2.5 Pro
LMArena Text: writing and language14541277Gemini 2.5 Pro
LMArena Text: entertainment and media14411250Gemini 2.5 Pro
LMArena Vision: English12611150Gemini 2.5 Pro
LMArena Vision: Chinese13001141Gemini 2.5 Pro
LMArena Vision: reading text12701143Gemini 2.5 Pro
LMArena Vision: humor12621100Gemini 2.5 Pro
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651099Gemini 2.5 Pro
LMArena Document1421Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and Llama 4 Maverick
BenchmarkGemini 2.5 ProLlama 4 MaverickLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 2.5 Pro$0.0063Fits in one request
Llama 4 Maverick$0.0008Fits in one request

Llama 4 Maverick costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Llama 4 Maverick$0.021Fits in one request

Llama 4 Maverick costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Llama 4 Maverick$0.080Fits in one request

Llama 4 Maverick costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 2.5 Pro and Llama 4 Maverick
SpecificationGoogle Gemini 2.5 ProMeta Llama 4 Maverick
MakerGoogleMeta Llama
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025April 5, 2025
Context window1.05M524K
Input $/Mtok$1.25$0.35
Output $/Mtok$10.00$1.00
Coding index19.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64$1.491
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Llama 4 Maverick for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding. Pick Llama 4 Maverick for output tokens 10.0x cheaper ($1.00 vs $10.00 per million).

Which is cheaper, Gemini 2.5 Pro or Llama 4 Maverick?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Llama 4 Maverick costs $0.35 and $1.00. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Llama 4 Maverick $1.491.

Which has the bigger context window, Gemini 2.5 Pro or Llama 4 Maverick?

Gemini 2.5 Pro, with 1.05M tokens against 524K.

How many benchmarks is the Gemini 2.5 Pro vs Llama 4 Maverick comparison based on?

70 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Llama 4 Maverick's on 0. Where only one model has a result, the page says so instead of naming a winner.

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