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Claude Haiku 4.5 vs Gemma 4 26B A4B

Claude Haiku 4.5 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 16.9 to 16.7, and Gemma 4 26B A4B costs 8.3x less per output token ($0.60 vs $5.00 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
9
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
27
vs boards won of 36 shared

Claude Haiku 4.5 or Gemma 4 26B A4B: which to pick

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.

Pick Gemma 4 26B A4B for output tokens 8.3x cheaper ($0.60 vs $5.00 per million) and a larger context window (262K against 200K tokens).

Shared results
36
Claude Haiku 4.5 only
59
Gemma 4 26B A4B only
19
Like-for-like categories
7 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, Gemma 4 26B A4B not benchmarked.
Widest category
Math, 11.7 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Haiku 4.5 66.7% against Gemma 4 26B A4B 82.2%, 15.6 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Gemma 4 26B A4B $0.60 per million output tokens, 8.3x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Gemma 4 26B A4B 262K.

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 4.5BarsGemma 4 26B A4BTies
Coding34
Intelligence20
Agentic work10
Reasoning04
Math03
Knowledge04
General312
All shared boards927
CodingLike-for-likeSix of these boards feed the Vibe Coding Index34
Coding benchmarks for Claude Haiku 4.5 and Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
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 WebDev13301360Gemma 4 26B A4B
AA Coding Index43.939.3Claude Haiku 4.5
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 measured40.0%Only Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured25.0%Only Gemma 4 26B A4B measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%35.2%Claude Haiku 4.5
ALE-BenchNot measured927.2Only Gemma 4 26B A4B measured
LMArena Text: coding14541446Claude Haiku 4.5
LMArena Text: software and IT14391454Gemma 4 26B A4B
LMArena WebDev: React13261351Gemma 4 26B A4B
LMArena WebDev: HTML13181362Gemma 4 26B A4B
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Haiku 4.5 and Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
AA Intelligence Index16.916.7Claude Haiku 4.5
Epoch Capabilities Index142.2141.9Claude Haiku 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Haiku 4.5 and Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
AA Agentic Index8.02.9Claude Haiku 4.5
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 measured43.6%Only Gemma 4 26B A4B measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
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 index04
Reasoning benchmarks for Claude Haiku 4.5 and Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
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 measured79.2%Only Gemma 4 26B A4B measured
Humanity's Last Exam (Artificial Analysis run)Not measured19.3%Only Gemma 4 26B A4B measured
GPQA Diamond (Epoch AI run)71.2%73.2%Gemma 4 26B A4B
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 prompts14211438Gemma 4 26B A4B
LMArena Text: expert14431447Gemma 4 26B A4B
LMArena Text: hard prompts in English14351448Gemma 4 26B A4B
LMArena Vision: diagramsNot measured1264Only Gemma 4 26B A4B measured
LMArena Vision: homeworkNot measured1293Only Gemma 4 26B A4B measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Haiku 4.5 and Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
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%82.2%Gemma 4 26B A4B
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981470Gemma 4 26B A4B
LMArena Text: mathematical work14301475Gemma 4 26B A4B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Claude Haiku 4.5 and Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
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: science14061446Gemma 4 26B A4B
LMArena Text: medicine and healthcare13941428Gemma 4 26B A4B
LMArena Text: legal and government14001457Gemma 4 26B A4B
LMArena Text: business and finance14001429Gemma 4 26B A4B
FACTS Benchmark SuiteNot measured42.7%Only Gemma 4 26B A4B measured
Neither model has a result on the other 4 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 Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
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 index312
General benchmarks for Claude Haiku 4.5 and Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
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 measured72.4%Only Gemma 4 26B A4B measured
Long context reasoning (AA-LCR)Not measured65.7%Only Gemma 4 26B A4B measured
DTBench73.6%74.9%Gemma 4 26B A4B
LMCA30.9%29.7%Claude Haiku 4.5
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971434Gemma 4 26B A4B
LMArena Text: instruction following14141420Gemma 4 26B A4B
LMArena Text: creative writing13711400Gemma 4 26B A4B
LMArena VisionNot measured1260Only Gemma 4 26B A4B measured
LMArena Text: English14141444Gemma 4 26B A4B
LMArena Text: non-English13771421Gemma 4 26B A4B
LMArena Text: Chinese14181495Gemma 4 26B A4B
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: French14111460Gemma 4 26B A4B
LMArena Text: Spanish14211415Claude Haiku 4.5
LMArena Text: Russian13811434Gemma 4 26B A4B
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn14091441Gemma 4 26B A4B
LMArena Text: longer queries14271427Claude Haiku 4.5
LMArena Text: writing and language13861405Gemma 4 26B A4B
LMArena Text: entertainment and media13691403Gemma 4 26B A4B
LMArena Vision: EnglishNot measured1256Only Gemma 4 26B A4B measured
LMArena Vision: ChineseNot measured1312Only Gemma 4 26B A4B measured
LMArena Vision: reading textNot measured1268Only Gemma 4 26B A4B measured
LMArena Vision: humorNot measured1272Only Gemma 4 26B A4B measured
LMArena Vision: captioningNot measured1297Only Gemma 4 26B A4B measured
LMArena Vision: recognizing thingsNot measured1191Only Gemma 4 26B A4B measured
LMArena Vision: creative writingNot measured1256Only Gemma 4 26B A4B measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 10 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 Gemma 4 26B A4B
BenchmarkClaude Haiku 4.5Gemma 4 26B A4BLeader
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
Gemma 4 26B A4B$0.0004Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Gemma 4 26B A4B$0.0093Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Gemma 4 26B A4B$0.036Fits in one request

Gemma 4 26B A4B 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 Gemma 4 26B A4B
SpecificationAnthropic Claude Haiku 4.5Google Gemma 4 26B A4B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025April 3, 2026
Context window200K262K
Input $/Mtok$1.00$0.15
Output $/Mtok$5.00$0.60
Coding index35.6Not benchmarked
Independent measurements behind it41
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Gemma 4 26B A4B for coding?

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 8.3x cheaper ($0.60 vs $5.00 per million) and a larger context window (262K against 200K tokens).

Which is cheaper, Claude Haiku 4.5 or Gemma 4 26B A4B?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Gemma 4 26B A4B?

Gemma 4 26B A4B, with 262K tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Gemma 4 26B A4B comparison based on?

36 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 Gemma 4 26B A4B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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