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Claude Haiku 4.5 vs Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite costs 3.3x less per output token than Claude Haiku 4.5 ($1.50 vs $5.00 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
1
Gemini 3.1 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$1.50
6
vs boards won of 7 shared

Claude Haiku 4.5 or Gemini 3.1 Flash Lite: which to pick

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Gemini 3.1 Flash Lite has none, so the two cannot be ranked on coding.

Pick Gemini 3.1 Flash Lite for output tokens 3.3x cheaper ($1.50 vs $5.00 per million) and a larger context window (1.05M against 200K tokens).

Shared results
7
Claude Haiku 4.5 only
88
Gemini 3.1 Flash Lite only
9
Like-for-like categories
6 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
Claude Haiku 4.5 35.6 from 4 benchmarks, Gemini 3.1 Flash Lite not benchmarked.
Widest category
Math, 13.3 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: Claude Haiku 4.5 66.7% against Gemini 3.1 Flash Lite 80.0%, 13.3 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Gemini 3.1 Flash Lite $1.50 per million output tokens, 3.3x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Gemini 3.1 Flash Lite 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 Haiku 4.5BarsGemini 3.1 Flash LiteTies
Coding01
Intelligence01
Agentic work10
Reasoning01
Math01
General02
All shared boards16
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev1330Not measuredOnly Claude Haiku 4.5 measured
AA Coding Index43.9Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Vals AI)41.2%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Vibe Code Bench (Vals AI)11.4%Not measuredOnly Claude Haiku 4.5 measured
Code migration (Vals AI)7.5%Not measuredOnly Claude Haiku 4.5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 2.1 (Vals AI)43.8%Not measuredOnly Claude Haiku 4.5 measured
SciCodeNot measured43.4%Only Gemini 3.1 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)Not measured24.2%Only Gemini 3.1 Flash Lite measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%52.2%Gemini 3.1 Flash Lite
LMArena Text: coding1454Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: software and IT1439Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: React1326Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: HTML1318Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
AA Intelligence Index16.9Not measuredOnly Claude Haiku 4.5 measured
Epoch Capabilities Index142.2144.3Gemini 3.1 Flash Lite
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%Not measuredOnly Claude Haiku 4.5 measured
Tax Agent Bench (Vals AI)5.9%Not measuredOnly Claude Haiku 4.5 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly Claude Haiku 4.5 measured
Excel Modeling Benchmark (Vals AI)22.7%Not measuredOnly Claude Haiku 4.5 measured
τ²-Bench TelecomNot measured31.3%Only Gemini 3.1 Flash Lite measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%37.3%Claude Haiku 4.5
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
GPQA Diamond72.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%Not measuredOnly Claude Haiku 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured82.2%Only Gemini 3.1 Flash Lite measured
Humanity's Last Exam (Artificial Analysis run)Not measured17.2%Only Gemini 3.1 Flash Lite measured
GPQA Diamond (Epoch AI run)71.2%81.8%Gemini 3.1 Flash Lite
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: expert1443Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts in English1435Not measuredOnly Claude Haiku 4.5 measured
Kagi LLM BenchmarkNot measured67.2%Only Gemini 3.1 Flash Lite measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%80.0%Gemini 3.1 Flash Lite
FrontierMath, tiers 1 to 3Not measured27.7%Only Gemini 3.1 Flash Lite measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math1398Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: mathematical work1430Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
MMLU Pro78.7%Not measuredOnly Claude Haiku 4.5 measured
LegalBench (Vals AI)81.2%Not measuredOnly Claude Haiku 4.5 measured
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%Not measuredOnly Claude Haiku 4.5 measured
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science1406Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: medicine and healthcare1394Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: legal and government1400Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: business and finance1400Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
Design Arena: websites1122Not measuredOnly Claude Haiku 4.5 measured
Design Arena: UI components1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: game dev1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: data viz1124Not measuredOnly Claude Haiku 4.5 measured
Design Arena: 3D1071Not measuredOnly Claude Haiku 4.5 measured
Design Arena: all code categories1114Not measuredOnly Claude Haiku 4.5 measured
Design Arena: SVG1025Not measuredOnly Claude Haiku 4.5 measured
Design Arena: ASCII art1140Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
IFBenchNot measured77.2%Only Gemini 3.1 Flash Lite measured
Long context reasoning (AA-LCR)Not measured74.3%Only Gemini 3.1 Flash Lite measured
DTBench73.6%76.8%Gemini 3.1 Flash Lite
LMCA30.9%35.0%Gemini 3.1 Flash Lite
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text1397Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: instruction following1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: creative writing1371Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: English1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: non-English1377Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Chinese1418Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: German1374Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Japanese1338Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Korean1346Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: French1411Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Spanish1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Russian1381Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn1409Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: longer queries1427Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: writing and language1386Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: entertainment and media1369Not measuredOnly Claude Haiku 4.5 measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 4.5 and Gemini 3.1 Flash Lite
BenchmarkClaude Haiku 4.5Gemini 3.1 Flash LiteLeader
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 Haiku 4.5$0.0035Fits in one request
Gemini 3.1 Flash Lite$0.0010Fits in one request

Gemini 3.1 Flash Lite costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Gemini 3.1 Flash Lite$0.017Fits in one request

Gemini 3.1 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Gemini 3.1 Flash Lite$0.065Fits in one request

Gemini 3.1 Flash Lite 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 Haiku 4.5 and Gemini 3.1 Flash Lite
SpecificationAnthropic Claude Haiku 4.5Google Gemini 3.1 Flash Lite
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025May 7, 2026
Context window200K1.05M
Input $/Mtok$1.00$0.25
Output $/Mtok$5.00$1.50
Coding index35.6Not benchmarked
Independent measurements behind it40
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Gemini 3.1 Flash Lite for coding?

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Gemini 3.1 Flash Lite has none, so the two cannot be ranked on coding. Pick Gemini 3.1 Flash Lite for output tokens 3.3x cheaper ($1.50 vs $5.00 per million) and a larger context window (1.05M against 200K tokens).

Which is cheaper, Claude Haiku 4.5 or Gemini 3.1 Flash Lite?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Gemini 3.1 Flash Lite costs $0.25 and $1.50. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Gemini 3.1 Flash Lite?

Gemini 3.1 Flash Lite, with 1.05M tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Gemini 3.1 Flash Lite comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Gemini 3.1 Flash Lite's on 0. Where only one model has a result, the page says so instead of naming a winner.

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