Claude Sonnet 4.5 vs Gemini 3.1 Pro Preview

Claude Sonnet 4.5 leads Gemini 3.1 Pro Preview on coding, 39.5 to 32.3 on the Vibe Coding Index, and Gemini 3.1 Pro Preview costs 1.3x less per output token ($12.00 vs $15.00 per million). Updated October 22, 2026; 83 benchmarks have a result for both.

Replace Claude Sonnet 4.5 Replace Gemini 3.1 Pro Preview

Claude Sonnet 4.5Anthropic

Coding: 39.5
Overall: 49.5
Output $/M: $15.00

Gemini 3.1 Pro PreviewGoogle

Coding: 32.3
Overall: 54.0
Output $/M: $12.00

vs boards won of 83 shared

Claude Sonnet 4.5 or Gemini 3.1 Pro Preview: which to pick

Pick Claude Sonnet 4.5 for coding: it scores 39.5 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4.

Pick Gemini 3.1 Pro Preview for output tokens 1.3x cheaper ($12.00 vs $15.00 per million) and a lower cost per solved task ($0.99 against $1.16).

Model AClaude Sonnet 4.5Anthropic39.5/1003 independent benchmarks$1.16 per solved task Model BGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved task

831250

Shared results: 83
Claude Sonnet 4.5 only: 12
Gemini 3.1 Pro Preview only: 50
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.

Coding
Vibe Coding Index, six public coding benchmarks
Claude Sonnet 4.5
Claude Sonnet 4.5 scores 39.5 against 32.3.
3 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 15.8 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 81.6%.
Same board, both measured
Math
AIME
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 98.1% against 88.2%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 87.4%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 1233 against 1189.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.1 Pro Preview
Claude Sonnet 4.5 $0.011, Gemini 3.1 Pro Preview $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.1 Pro Preview
Claude Sonnet 4.5 $1.16, Gemini 3.1 Pro Preview $0.99.
Published attempt cost and pass rate

At a glance

Coding index: Claude Sonnet 4.5 39.5 from 3 benchmarks, Gemini 3.1 Pro Preview 32.3 from 4 benchmarks.
Widest category: Reasoning, 19.4 points apart on average over 12 shared benchmarks.
Widest single gap: ARC-AGI-2: Claude Sonnet 4.5 13.6% against Gemini 3.1 Pro Preview 77.1%, 63.5 points apart on a 0 to 100 scale.
Output price: Claude Sonnet 4.5 $15.00 against Gemini 3.1 Pro Preview $12.00 per million output tokens, 1.3x apart.
Context window: Claude Sonnet 4.5 takes 1M tokens, Gemini 3.1 Pro Preview 1.05M.

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
Category	Claude Sonnet 4.5	Gemini 3.1 Pro Preview
Coding	1	11
Intelligence	0	1
Agentic work	4	3
Reasoning	0	12
Math	0	7
Knowledge	1	13
Web design	0	8
General	2	20
All shared boards	8	75

CodingLike-for-likeSix of these boards feed the Vibe Coding Index111

Coding benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
SWE-bench Verified	74.8%	Not measured	Only Claude Sonnet 4.5 measured
SWE-bench Multilingual	67.0%	Not measured	Only Claude Sonnet 4.5 measured
LMArena WebDev	1394	1447	Gemini 3.1 Pro Preview
AA Coding Index	52.1	68.8	Gemini 3.1 Pro Preview
LiveCodeBench (Vals AI)	73.0%	88.5%	Gemini 3.1 Pro Preview
SWE-bench Verified (Vals AI)	70.0%	78.8%	Gemini 3.1 Pro Preview
Terminal-Bench 4 (Vals AI)	Not measured	2.5%	Only Gemini 3.1 Pro Preview measured
Vibe Code Bench (Vals AI)	22.6%	32.0%	Gemini 3.1 Pro Preview
Code migration (Vals AI)	Not measured	17.3%	Only Gemini 3.1 Pro Preview measured
ProgramBench (Vals AI)	Not measured	0.0%	Only Gemini 3.1 Pro Preview measured
IOI (Vals AI)	Not measured	51.8%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench 2.1 (Vals AI)	Not measured	70.8%	Only Gemini 3.1 Pro Preview measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	6.7%	Only Gemini 3.1 Pro Preview measured
SciCode	Not measured	58.7%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	53.8%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench	46.5%	80.2%	Gemini 3.1 Pro Preview
GSO-Bench	14.7%	22.6%	Gemini 3.1 Pro Preview
WeirdML	47.7%	72.1%	Gemini 3.1 Pro Preview
MirrorCode	Not measured	8.9%	Only Gemini 3.1 Pro Preview measured
Cybench	60.0%	Not measured	Only Claude Sonnet 4.5 measured
ALE-Bench	Not measured	1160.6	Only Gemini 3.1 Pro Preview measured
LMArena Text: coding	1488	1484	Claude Sonnet 4.5
LMArena Text: software and IT	1473	1487	Gemini 3.1 Pro Preview
LMArena WebDev: React	1386	1438	Gemini 3.1 Pro Preview
LMArena WebDev: HTML	1399	1490	Gemini 3.1 Pro Preview
LMArena WebDev: from an image	Not measured	1481	Only Gemini 3.1 Pro Preview measured
SciCode	Not measured	14.3%	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 12 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
AA Intelligence Index	20.7	29.7	Gemini 3.1 Pro Preview
Epoch Capabilities Index	146.7	Not measured	Only Claude Sonnet 4.5 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index43

Agentic work benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
AA Agentic Index	15.8	8.2	Claude Sonnet 4.5
Design Arena: agents building web apps	1060	1125	Gemini 3.1 Pro Preview
Design Arena: agents building full-stack apps	1050	1068	Gemini 3.1 Pro Preview
Design Arena: agents building mobile apps	1137	1094	Claude Sonnet 4.5
Design Arena: agents building Android apps	Not measured	1049	Only Gemini 3.1 Pro Preview measured
Design Arena: agents building Godot games	Not measured	1236	Only Gemini 3.1 Pro Preview measured
Design Arena: agents building games	Not measured	1113	Only Gemini 3.1 Pro Preview measured
Design Arena: HTML slides	Not measured	1103	Only Gemini 3.1 Pro Preview measured
Design Arena: PowerPoint slides	Not measured	1041	Only Gemini 3.1 Pro Preview measured
SREBench (Vals AI)	Not measured	0.0%	Only Gemini 3.1 Pro Preview measured
Finance Agent (Vals AI)	Not measured	43.0%	Only Gemini 3.1 Pro Preview measured
Tax Agent Bench (Vals AI)	Not measured	9.3%	Only Gemini 3.1 Pro Preview measured
Legal Research Bench (Vals AI)	Not measured	20.7%	Only Gemini 3.1 Pro Preview measured
Excel Modeling Benchmark (Vals AI)	Not measured	52.6%	Only Gemini 3.1 Pro Preview measured
BioMysteryBench (Vals AI)	Not measured	60.0%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench-Science (Vals AI)	Not measured	1.4%	Only Gemini 3.1 Pro Preview measured
Vals Science Index	Not measured	27.4%	Only Gemini 3.1 Pro Preview measured
τ²-Bench Telecom	Not measured	95.6%	Only Gemini 3.1 Pro Preview measured
APEX-Agents	Not measured	35.1%	Only Gemini 3.1 Pro Preview measured
METR time horizons	67.4%	77.0%	Gemini 3.1 Pro Preview
Remote Labor Index	2.1%	Not measured	Only Claude Sonnet 4.5 measured
GDPval	42.5%	Not measured	Only Claude Sonnet 4.5 measured
BALROG	Not measured	57.0%	Only Gemini 3.1 Pro Preview measured
DeepResearch Bench	52.6%	47.8%	Claude Sonnet 4.5
PostTrainBench	Not measured	22.0%	Only Gemini 3.1 Pro Preview measured
OSWorld	62.9%	Not measured	Only Claude Sonnet 4.5 measured
Vending-Bench 2	$3,839	$911	Claude Sonnet 4.5
Berkeley Function Calling Leaderboard (BFCL)	73.2%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 13 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index012

Reasoning benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
GPQA Diamond	81.6%	95.5%	Gemini 3.1 Pro Preview
MysteryMechanism (Vals AI)	Not measured	20.7%	Only Gemini 3.1 Pro Preview measured
MMMU Pro (Vals AI)	79.3%	88.2%	Gemini 3.1 Pro Preview
GPQA Diamond (Artificial Analysis run)	Not measured	94.1%	Only Gemini 3.1 Pro Preview measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	47.0%	Only Gemini 3.1 Pro Preview measured
GPQA Diamond (Epoch AI run)	82.3%	94.4%	Gemini 3.1 Pro Preview
ARC-AGI	63.7%	98.0%	Gemini 3.1 Pro Preview
ARC-AGI-2	13.6%	77.1%	Gemini 3.1 Pro Preview
SimpleBench	54.3%	79.6%	Gemini 3.1 Pro Preview
Chess puzzles	10.0%	51.0%	Gemini 3.1 Pro Preview
Mystery game puzzles	17.0%	34.0%	Gemini 3.1 Pro Preview
EBR-bench	2.4%	14.3%	Gemini 3.1 Pro Preview
VPCT	39.8%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: hard prompts	1462	1485	Gemini 3.1 Pro Preview
LMArena Text: expert	1483	1483	Gemini 3.1 Pro Preview
LMArena Text: hard prompts in English	1471	1480	Gemini 3.1 Pro Preview
LMArena Vision: diagrams	Not measured	1311	Only Gemini 3.1 Pro Preview measured
LMArena Vision: homework	Not measured	1316	Only Gemini 3.1 Pro Preview measured
Kagi LLM Benchmark	57.9%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 3 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index07

Math benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
AIME	88.2%	98.1%	Gemini 3.1 Pro Preview
MGSM (Vals AI)	94.3%	Not measured	Only Claude Sonnet 4.5 measured
OTIS Mock AIME	77.8%	95.6%	Gemini 3.1 Pro Preview
FrontierMath, tiers 1 to 3	23.9%	59.6%	Gemini 3.1 Pro Preview
FrontierMath, tier 4	2.4%	26.8%	Gemini 3.1 Pro Preview
ProofBench	19.0%	26.0%	Gemini 3.1 Pro Preview
MATH level 5	97.7%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: math	1449	1486	Gemini 3.1 Pro Preview
LMArena Text: mathematical work	1462	1478	Gemini 3.1 Pro Preview
Neither model has a result on the other 4 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index113

Knowledge benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
MMLU Pro	87.4%	91.0%	Gemini 3.1 Pro Preview
LegalBench (Vals AI)	84.1%	87.4%	Gemini 3.1 Pro Preview
CaseLaw (Vals AI)	62.2%	64.8%	Gemini 3.1 Pro Preview
CorpFin (Vals AI)	62.0%	64.5%	Gemini 3.1 Pro Preview
TaxEval (Vals AI)	73.3%	72.9%	Claude Sonnet 4.5
MortgageTax (Vals AI)	64.0%	69.4%	Gemini 3.1 Pro Preview
MedQA (Vals AI)	94.7%	96.4%	Gemini 3.1 Pro Preview
MedCode (Vals AI)	44.1%	59.1%	Gemini 3.1 Pro Preview
SimpleQA Verified	30.7%	73.5%	Gemini 3.1 Pro Preview
LMArena Text: science	1448	1497	Gemini 3.1 Pro Preview
LMArena Text: medicine and healthcare	1444	1486	Gemini 3.1 Pro Preview
LMArena Text: legal and government	1451	1487	Gemini 3.1 Pro Preview
LMArena Text: business and finance	1440	1459	Gemini 3.1 Pro Preview
FACTS Benchmark Suite	40.6%	67.4%	Gemini 3.1 Pro Preview
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index08

Web design benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
Design Arena: websites	1189	1233	Gemini 3.1 Pro Preview
Design Arena: UI components	1170	1224	Gemini 3.1 Pro Preview
Design Arena: game dev	1166	1202	Gemini 3.1 Pro Preview
Design Arena: data viz	1167	1209	Gemini 3.1 Pro Preview
Design Arena: 3D	1157	1234	Gemini 3.1 Pro Preview
Design Arena: all code categories	1182	1231	Gemini 3.1 Pro Preview
Design Arena: SVG	1115	1285	Gemini 3.1 Pro Preview
Design Arena: ASCII art	1205	1270	Gemini 3.1 Pro Preview
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index220

General benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
Public Benefits Bench (Vals AI)	Not measured	53.8%	Only Gemini 3.1 Pro Preview measured
SAGE (Vals AI)	36.1%	48.7%	Gemini 3.1 Pro Preview
MedScribe (Vals AI)	84.5%	76.1%	Claude Sonnet 4.5
Vals Multimodal Index	Not measured	56.1%	Only Gemini 3.1 Pro Preview measured
IFBench	Not measured	77.1%	Only Gemini 3.1 Pro Preview measured
Long context reasoning (AA-LCR)	Not measured	82.0%	Only Gemini 3.1 Pro Preview measured
DTBench	83.2%	97.1%	Gemini 3.1 Pro Preview
LMCA	38.8%	53.8%	Gemini 3.1 Pro Preview
CL-bench	Not measured	20.8%	Only Gemini 3.1 Pro Preview measured
Furniture assembly	Not measured	26.7%	Only Gemini 3.1 Pro Preview measured
ExploitBench	Not measured	26.1%	Only Gemini 3.1 Pro Preview measured
CL-bench Life	Not measured	16.9%	Only Gemini 3.1 Pro Preview measured
LMArena Text	1438	1480	Gemini 3.1 Pro Preview
LMArena Text: instruction following	1459	1466	Gemini 3.1 Pro Preview
LMArena Text: creative writing	1442	1482	Gemini 3.1 Pro Preview
LMArena Vision	Not measured	1296	Only Gemini 3.1 Pro Preview measured
LMArena Text: English	1450	1478	Gemini 3.1 Pro Preview
LMArena Text: non-English	1425	1476	Gemini 3.1 Pro Preview
LMArena Text: Chinese	1460	1527	Gemini 3.1 Pro Preview
LMArena Text: German	1427	1490	Gemini 3.1 Pro Preview
LMArena Text: Japanese	1390	1491	Gemini 3.1 Pro Preview
LMArena Text: Korean	1402	1455	Gemini 3.1 Pro Preview
LMArena Text: French	1459	1487	Gemini 3.1 Pro Preview
LMArena Text: Spanish	1458	1481	Gemini 3.1 Pro Preview
LMArena Text: Russian	1437	1497	Gemini 3.1 Pro Preview
LMArena Text: Polish	1423	1498	Gemini 3.1 Pro Preview
LMArena Text: multi-turn	1465	1487	Gemini 3.1 Pro Preview
LMArena Text: longer queries	1475	1482	Gemini 3.1 Pro Preview
LMArena Text: writing and language	1442	1481	Gemini 3.1 Pro Preview
LMArena Text: entertainment and media	1428	1465	Gemini 3.1 Pro Preview
LMArena Vision: English	Not measured	1287	Only Gemini 3.1 Pro Preview measured
LMArena Vision: Chinese	Not measured	1364	Only Gemini 3.1 Pro Preview measured
LMArena Vision: reading text	Not measured	1304	Only Gemini 3.1 Pro Preview measured
LMArena Vision: humor	Not measured	1322	Only Gemini 3.1 Pro Preview measured
LMArena Vision: captioning	Not measured	1345	Only Gemini 3.1 Pro Preview measured
LMArena Vision: recognizing things	Not measured	1330	Only Gemini 3.1 Pro Preview measured
LMArena Vision: creative writing	Not measured	1324	Only Gemini 3.1 Pro Preview measured
LMArena Document	1450	1444	Claude Sonnet 4.5
Neither model has a result on the other 8 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Benchmark	Claude Sonnet 4.5	Gemini 3.1 Pro Preview	Leader
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

Claude Sonnet 4.5$0.011Fits in one request

Gemini 3.1 Pro Preview$0.0080Fits in one request

Gemini 3.1 Pro Preview costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request

Gemini 3.1 Pro Preview$0.136Fits in one request

Gemini 3.1 Pro Preview costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request

Gemini 3.1 Pro Preview$0.520Fits in one request

Gemini 3.1 Pro Preview 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 Claude Sonnet 4.5 and Gemini 3.1 Pro Preview
Specification	Anthropic Claude Sonnet 4.5	Google Gemini 3.1 Pro Preview
Maker	Anthropic	Google
Weights	No public weights listed	No public weights listed
Released	September 29, 2025	February 19, 2026
Context window	1M	1.05M
Input $/Mtok	$3.00	$2.00
Output $/Mtok	$15.00	$12.00
Coding index	39.5	32.3
Independent measurements behind it	3	4
Cost per solved task	$1.16	$0.99
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Gemini 3.1 Pro Preview for coding?

Pick Claude Sonnet 4.5 for coding: it scores 39.5 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4. Pick Gemini 3.1 Pro Preview for output tokens 1.3x cheaper ($12.00 vs $15.00 per million) and a lower cost per solved task ($0.99 against $1.16).

Which is cheaper, Claude Sonnet 4.5 or Gemini 3.1 Pro Preview?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Gemini 3.1 Pro Preview costs $2.00 and $12.00. Per solved SWE-bench Verified task, Claude Sonnet 4.5 costs $1.16 and Gemini 3.1 Pro Preview $0.99.

Which has the bigger context window, Claude Sonnet 4.5 or Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.5 vs Gemini 3.1 Pro Preview comparison based on?

83 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 independent benchmarks and Gemini 3.1 Pro Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.

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Claude Sonnet 4.5 or Gemini 3.1 Pro Preview: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next