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Claude Opus 4.8 vs Gemini 2.5 Flash

Updated October 21, 2026. 60 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.8Anthropic
Coding
66.0
Overall
41.8
Output $/M
$25.00
60
Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
0
vs boards won of 60 shared

Decision reading

Pick Claude Opus 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash.

Pick Gemini 2.5 Flash when output tokens cost 10.0x less, or when a solved task costs $0.466 against $2.17.

Shared results
60
Claude Opus 4.8 only
66
Gemini 2.5 Flash only
9
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Claude Opus 4.8 66.0 from 2 benchmarks, Gemini 2.5 Flash 28.7 from 1 benchmark.
Widest category
Agentic work, 47.8 points apart on average over 2 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.8 72.1% against Gemini 2.5 Flash 2.5%, 69.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against Gemini 2.5 Flash $2.50 per million output tokens, 10.0x apart.
Context window
Claude Opus 4.8 takes 1M tokens, Gemini 2.5 Flash 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
CategoryClaude Opus 4.8BarsGemini 2.5 FlashTies
Coding30
Intelligence20
Agentic work20
Reasoning100
Math20
Knowledge50
Web design70
General290
All shared boards600
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
SWE-bench VerifiedNot measured28.7%Only Gemini 2.5 Flash measured
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev1556Not measuredOnly Claude Opus 4.8 measured
AA Coding Index74.3Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Vals AI)87.8%Not measuredOnly Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)88.6%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%Not measuredOnly Claude Opus 4.8 measured
Code migration (Vals AI)47.3%Not measuredOnly Claude Opus 4.8 measured
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%Not measuredOnly Claude Opus 4.8 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Artificial Analysis run)Not measured69.5%Only Gemini 2.5 Flash measured
SciCode54.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench Hard (Artificial Analysis run)58.3%13.6%Claude Opus 4.8
Terminal-BenchNot measured17.1%Only Gemini 2.5 Flash measured
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: coding14901423Claude Opus 4.8
LMArena Text: software and IT14881425Claude Opus 4.8
LMArena WebDev: React1557Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: HTML1543Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
AA Intelligence Index41.815.5Claude Opus 4.8
Epoch Capabilities Index159.0142.9Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
AA Agentic Index41.9Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1237Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1221Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1227Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)69.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%31.6%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
BALROGNot measured33.5%Only Gemini 2.5 Flash measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787$549Claude Opus 4.8
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
GPQA Diamond92.4%Not measuredOnly Claude Opus 4.8 measured
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%79.0%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%12.1%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI92.5%33.3%Claude Opus 4.8
ARC-AGI-272.1%2.5%Claude Opus 4.8
SimpleBench64.8%41.2%Claude Opus 4.8
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821422Claude Opus 4.8
LMArena Text: expert15031426Claude Opus 4.8
LMArena Text: hard prompts in English14871420Claude Opus 4.8
LMArena Vision: diagrams13151245Claude Opus 4.8
LMArena Vision: homework13371244Claude Opus 4.8
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
AA Math IndexNot measured73.3Only Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)Not measured73.3%Only Gemini 2.5 Flash measured
OTIS Mock AIME98.3%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: math14861411Claude Opus 4.8
LMArena Text: mathematical work14971422Claude Opus 4.8
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
MMLU Pro89.6%Not measuredOnly Claude Opus 4.8 measured
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CorpFin (Vals AI)66.7%Not measuredOnly Claude Opus 4.8 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Opus 4.8 measured
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%40.4%Claude Opus 4.8
MMLU Pro (Artificial Analysis run)Not measured83.2%Only Gemini 2.5 Flash measured
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771433Claude Opus 4.8
LMArena Text: medicine and healthcare14641428Claude Opus 4.8
LMArena Text: legal and government14771430Claude Opus 4.8
LMArena Text: business and finance14581404Claude Opus 4.8
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
Design Arena: websites12581074Claude Opus 4.8
Design Arena: UI components12561005Claude Opus 4.8
Design Arena: game dev12641005Claude Opus 4.8
Design Arena: data viz12401060Claude Opus 4.8
Design Arena: 3D12231021Claude Opus 4.8
Design Arena: all code categories12551059Claude Opus 4.8
Design Arena: SVG11941018Claude Opus 4.8
Design Arena: ASCII art1276Not measuredOnly Claude Opus 4.8 measured
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
General benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%44.8%Claude Opus 4.8
MedScribe (Vals AI)85.8%83.0%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%50.3%Claude Opus 4.8
Long context reasoning (AA-LCR)77.7%65.3%Claude Opus 4.8
DTBench94.9%76.5%Claude Opus 4.8
LMCA57.5%27.5%Claude Opus 4.8
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611417Claude Opus 4.8
LMArena Text: instruction following14761405Claude Opus 4.8
LMArena Text: creative writing14541400Claude Opus 4.8
LMArena Vision12941235Claude Opus 4.8
LMArena Text: English14681418Claude Opus 4.8
LMArena Text: non-English14501409Claude Opus 4.8
LMArena Text: Chinese15061449Claude Opus 4.8
LMArena Text: German14721417Claude Opus 4.8
LMArena Text: Japanese14421396Claude Opus 4.8
LMArena Text: Korean14311385Claude Opus 4.8
LMArena Text: French14811432Claude Opus 4.8
LMArena Text: Spanish14651422Claude Opus 4.8
LMArena Text: Russian14741415Claude Opus 4.8
LMArena Text: Polish14591413Claude Opus 4.8
LMArena Text: multi-turn14761408Claude Opus 4.8
LMArena Text: longer queries14831419Claude Opus 4.8
LMArena Text: writing and language14611405Claude Opus 4.8
LMArena Text: entertainment and media14401393Claude Opus 4.8
LMArena Vision: English12931239Claude Opus 4.8
LMArena Vision: Chinese13461284Claude Opus 4.8
LMArena Vision: reading text13031237Claude Opus 4.8
LMArena Vision: humor12821225Claude Opus 4.8
LMArena Vision: captioningNot measured1277Only Gemini 2.5 Flash measured
LMArena Vision: recognizing thingsNot measured1252Only Gemini 2.5 Flash measured
LMArena Vision: creative writing13011241Claude Opus 4.8
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and Gemini 2.5 Flash
BenchmarkClaude Opus 4.8Gemini 2.5 FlashLeader
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 Opus 4.8$0.018Fits in one request
Gemini 2.5 Flash$0.0015Fits in one request

Gemini 2.5 Flash costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
Gemini 2.5 Flash$0.022Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
Gemini 2.5 Flash$0.085Fits in one request

Gemini 2.5 Flash 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 Opus 4.8 and Gemini 2.5 Flash
SpecificationAnthropic Claude Opus 4.8Google Gemini 2.5 Flash
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026June 17, 2025
Context window1M1.05M
Input $/Mtok$5.00$0.30
Output $/Mtok$25.00$2.50
Coding index66.028.7
Independent measurements behind it21
Cost per solved task$2.17$0.466
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than Gemini 2.5 Flash for coding?

Pick Claude Opus 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash. Pick Gemini 2.5 Flash when output tokens cost 10.0x less, or when a solved task costs $0.466 against $2.17.

Which is cheaper, Claude Opus 4.8 or Gemini 2.5 Flash?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Gemini 2.5 Flash costs $0.30 and $2.50. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and Gemini 2.5 Flash $0.466.

Which has the bigger context window, Claude Opus 4.8 or Gemini 2.5 Flash?

Gemini 2.5 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.8 vs Gemini 2.5 Flash comparison based on?

60 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 2 independent benchmarks and Gemini 2.5 Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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