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Gemini 3.5 Flash Lite vs Gemma 4 26B A4B

Gemini 3.5 Flash Lite leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 22.2 to 16.7, and Gemma 4 26B A4B costs 4.2x less per output token ($0.60 vs $2.50 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
33
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
16
vs boards won of 49 shared

Gemini 3.5 Flash Lite or Gemma 4 26B A4B: which to pick

Only Gemini 3.5 Flash Lite has a coding score, 49.0 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 4.2x cheaper ($0.60 vs $2.50 per million) and work measured by ALE-Bench or LMArena Text: software and IT, where it leads.

Shared results
49
Gemini 3.5 Flash Lite only
36
Gemma 4 26B A4B only
6
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
Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, Gemma 4 26B A4B not benchmarked.
Widest category
Agentic work, 11.4 points apart on average over 1 shared benchmark.
Widest single gap
AA Agentic Index: Gemini 3.5 Flash Lite 14.3 against Gemma 4 26B A4B 2.9, 11.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against Gemma 4 26B A4B $0.60 per million output tokens, 4.2x apart.
Context window
Gemini 3.5 Flash Lite takes 1.05M 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
CategoryGemini 3.5 Flash LiteBarsGemma 4 26B A4BTies
Coding62
Intelligence20
Agentic work10
Reasoning44
Math03
Knowledge32
General175
All shared boards3316
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
Coding benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
LMArena WebDev14351360Gemini 3.5 Flash Lite
AA Coding Index49.339.3Gemini 3.5 Flash Lite
LiveCodeBench (Vals AI)79.0%Not measuredOnly Gemini 3.5 Flash Lite measured
SWE-bench Verified (Vals AI)75.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Vibe Code Bench (Vals AI)37.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Code migration (Vals AI)6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly Gemini 3.5 Flash Lite measured
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode41.3%40.0%Gemini 3.5 Flash Lite
Terminal-Bench Hard (Artificial Analysis run)Not measured25.0%Only Gemma 4 26B A4B measured
WeirdML39.0%35.2%Gemini 3.5 Flash Lite
ALE-Bench765.3927.2Gemma 4 26B A4B
LMArena Text: coding14531446Gemini 3.5 Flash Lite
LMArena Text: software and IT14511454Gemma 4 26B A4B
LMArena WebDev: React14081351Gemini 3.5 Flash Lite
LMArena WebDev: HTMLNot measured1362Only Gemma 4 26B A4B measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
AA Intelligence Index22.216.7Gemini 3.5 Flash Lite
Epoch Capabilities Index144.9141.9Gemini 3.5 Flash Lite
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
AA Agentic Index14.32.9Gemini 3.5 Flash Lite
Finance Agent (Vals AI)47.4%Not measuredOnly Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)7.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)43.2%Not measuredOnly Gemini 3.5 Flash Lite measured
τ²-Bench TelecomNot measured43.6%Only Gemma 4 26B A4B measured
APEX-Agents29.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index44
Reasoning benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
GPQA Diamond83.8%Not measuredOnly Gemini 3.5 Flash Lite measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)83.8%79.2%Gemini 3.5 Flash Lite
Humanity's Last Exam (Artificial Analysis run)18.8%19.3%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)83.3%73.2%Gemini 3.5 Flash Lite
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Mystery game puzzles19.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts14411438Gemini 3.5 Flash Lite
LMArena Text: expert14341447Gemma 4 26B A4B
LMArena Text: hard prompts in English14401448Gemma 4 26B A4B
LMArena Vision: diagrams12841264Gemini 3.5 Flash Lite
LMArena Vision: homework12911293Gemma 4 26B A4B
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 Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
OTIS Mock AIME71.1%82.2%Gemma 4 26B A4B
FrontierMath, tiers 1 to 326.0%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ProofBench13.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: math14341470Gemma 4 26B A4B
LMArena Text: mathematical work14331475Gemma 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 index32
Knowledge benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
MMLU Pro85.8%Not measuredOnly Gemini 3.5 Flash Lite measured
LegalBench (Vals AI)84.1%Not measuredOnly Gemini 3.5 Flash Lite measured
CorpFin (Vals AI)60.7%Not measuredOnly Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)72.6%Not measuredOnly Gemini 3.5 Flash Lite measured
MortgageTax (Vals AI)68.7%Not measuredOnly Gemini 3.5 Flash Lite measured
MedCode (Vals AI)43.5%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: science14511446Gemini 3.5 Flash Lite
LMArena Text: medicine and healthcare14381428Gemini 3.5 Flash Lite
LMArena Text: legal and government14311457Gemma 4 26B A4B
LMArena Text: business and finance14231429Gemma 4 26B A4B
FACTS Benchmark Suite53.5%42.7%Gemini 3.5 Flash Lite
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index175
General benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 4 26B A4BLeader
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%Not measuredOnly Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)70.9%Not measuredOnly Gemini 3.5 Flash Lite measured
IFBenchNot measured72.4%Only Gemma 4 26B A4B measured
Long context reasoning (AA-LCR)76.0%65.7%Gemini 3.5 Flash Lite
DTBench83.5%74.9%Gemini 3.5 Flash Lite
LMCA37.6%29.7%Gemini 3.5 Flash Lite
LMArena Text14351434Gemini 3.5 Flash Lite
LMArena Text: instruction following14191420Gemma 4 26B A4B
LMArena Text: creative writing14211400Gemini 3.5 Flash Lite
LMArena Vision12691260Gemini 3.5 Flash Lite
LMArena Text: English14381444Gemma 4 26B A4B
LMArena Text: non-English14271421Gemini 3.5 Flash Lite
LMArena Text: Chinese14681495Gemma 4 26B A4B
LMArena Text: German1454Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Japanese1426Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Korean1407Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: French14511460Gemma 4 26B A4B
LMArena Text: Spanish14411415Gemini 3.5 Flash Lite
LMArena Text: Russian14431434Gemini 3.5 Flash Lite
LMArena Text: Polish1437Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: multi-turn14451441Gemini 3.5 Flash Lite
LMArena Text: longer queries14351427Gemini 3.5 Flash Lite
LMArena Text: writing and language14281405Gemini 3.5 Flash Lite
LMArena Text: entertainment and media14141403Gemini 3.5 Flash Lite
LMArena Vision: English12691256Gemini 3.5 Flash Lite
LMArena Vision: Chinese13111312Gemma 4 26B A4B
LMArena Vision: reading text12801268Gemini 3.5 Flash Lite
LMArena Vision: humor12871272Gemini 3.5 Flash Lite
LMArena Vision: captioningNot measured1297Only Gemma 4 26B A4B measured
LMArena Vision: recognizing thingsNot measured1191Only Gemma 4 26B A4B measured
LMArena Vision: creative writing12601256Gemini 3.5 Flash Lite
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash Lite and Gemma 4 26B A4B
BenchmarkGemini 3.5 Flash LiteGemma 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

Gemini 3.5 Flash Lite$0.0015Fits 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

Gemini 3.5 Flash Lite$0.022Fits 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

Gemini 3.5 Flash Lite$0.085Fits in one request
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 Gemini 3.5 Flash Lite and Gemma 4 26B A4B
SpecificationGoogle Gemini 3.5 Flash LiteGoogle Gemma 4 26B A4B
MakerGoogleGoogle
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026April 3, 2026
Context window1.05M262K
Input $/Mtok$0.30$0.15
Output $/Mtok$2.50$0.60
Coding index49.0Not benchmarked
Independent measurements behind it31
Cost per solved task$0.41Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than Gemma 4 26B A4B for coding?

Only Gemini 3.5 Flash Lite has a coding score, 49.0 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 4.2x cheaper ($0.60 vs $2.50 per million) and work measured by ALE-Bench or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemini 3.5 Flash Lite or Gemma 4 26B A4B?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for Gemini 3.5 Flash Lite only.

Which has the bigger context window, Gemini 3.5 Flash Lite or Gemma 4 26B A4B?

Gemini 3.5 Flash Lite, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.5 Flash Lite vs Gemma 4 26B A4B comparison based on?

49 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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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