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Gemini 3.5 Flash vs Gemma 4 26B A4B

Gemini 3.5 Flash leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 33.6 to 16.7, and Gemma 4 26B A4B costs 15.0x less per output token ($0.60 vs $9.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace Gemma 4 26B A4B
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
50
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
1
vs boards won of 51 shared

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

Only Gemini 3.5 Flash has a coding score, 39.8 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 15.0x cheaper ($0.60 vs $9.00 per million) and work measured by ALE-Bench, where it leads.

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
51
Gemini 3.5 Flash only
61
Gemma 4 26B A4B only
4
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 39.8 from 4 benchmarks, Gemma 4 26B A4B not benchmarked.
Widest category
Agentic work, 52.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemini 3.5 Flash 95.6% against Gemma 4 26B A4B 43.6%, 52.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Gemma 4 26B A4B $0.60 per million output tokens, 15.0x apart.
Context window
Gemini 3.5 Flash 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 FlashBarsGemma 4 26B A4BTies
Coding81
Intelligence20
Agentic work10
Reasoning80
Math30
Knowledge50
General230
All shared boards501
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
Coding benchmarks for Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
LMArena WebDev14991360Gemini 3.5 Flash
AA Coding IndexNot measured39.3Only Gemma 4 26B A4B measured
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%Not measuredOnly Gemini 3.5 Flash measured
Code migration (Vals AI)26.8%Not measuredOnly Gemini 3.5 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%Not measuredOnly Gemini 3.5 Flash measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%40.0%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%25.0%Gemini 3.5 Flash
WeirdML62.6%35.2%Gemini 3.5 Flash
ALE-Bench911.0927.2Gemma 4 26B A4B
LMArena Text: coding14931446Gemini 3.5 Flash
LMArena Text: software and IT14941454Gemini 3.5 Flash
LMArena WebDev: React14951351Gemini 3.5 Flash
LMArena WebDev: HTML15221362Gemini 3.5 Flash
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
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 Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
AA Intelligence Index33.616.7Gemini 3.5 Flash
Epoch Capabilities Index154.9141.9Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
AA Agentic IndexNot measured2.9Only Gemma 4 26B A4B measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1174Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1154Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%Not measuredOnly Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)63.5%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%43.6%Gemini 3.5 Flash
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%79.2%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%19.3%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%73.2%Gemini 3.5 Flash
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881438Gemini 3.5 Flash
LMArena Text: expert14951447Gemini 3.5 Flash
LMArena Text: hard prompts in English14831448Gemini 3.5 Flash
LMArena Vision: diagrams13231264Gemini 3.5 Flash
LMArena Vision: homework13301293Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
OTIS Mock AIME95.6%82.2%Gemini 3.5 Flash
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math15041470Gemini 3.5 Flash
LMArena Text: mathematical work14951475Gemini 3.5 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951446Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831428Gemini 3.5 Flash
LMArena Text: legal and government14881457Gemini 3.5 Flash
LMArena Text: business and finance14671429Gemini 3.5 Flash
FACTS Benchmark Suite63.1%42.7%Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
Design Arena: websites1267Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1269Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1236Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1243Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1253Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1254Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
General benchmarks for Gemini 3.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 4 26B A4BLeader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%72.4%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%65.7%Gemini 3.5 Flash
DTBench94.7%74.9%Gemini 3.5 Flash
LMCA47.1%29.7%Gemini 3.5 Flash
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821434Gemini 3.5 Flash
LMArena Text: instruction following14671420Gemini 3.5 Flash
LMArena Text: creative writing14701400Gemini 3.5 Flash
LMArena Vision13081260Gemini 3.5 Flash
LMArena Text: English14811444Gemini 3.5 Flash
LMArena Text: non-English14751421Gemini 3.5 Flash
LMArena Text: Chinese15271495Gemini 3.5 Flash
LMArena Text: German1494Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Japanese1486Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Korean1448Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: French14901460Gemini 3.5 Flash
LMArena Text: Spanish14801415Gemini 3.5 Flash
LMArena Text: Russian14931434Gemini 3.5 Flash
LMArena Text: Polish1516Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: multi-turn14811441Gemini 3.5 Flash
LMArena Text: longer queries14831427Gemini 3.5 Flash
LMArena Text: writing and language14781405Gemini 3.5 Flash
LMArena Text: entertainment and media14591403Gemini 3.5 Flash
LMArena Vision: English13051256Gemini 3.5 Flash
LMArena Vision: Chinese13771312Gemini 3.5 Flash
LMArena Vision: reading text13171268Gemini 3.5 Flash
LMArena Vision: humor13211272Gemini 3.5 Flash
LMArena Vision: captioningNot measured1297Only Gemma 4 26B A4B measured
LMArena Vision: recognizing thingsNot measured1191Only Gemma 4 26B A4B measured
LMArena Vision: creative writing13011256Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 11 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 and Gemma 4 26B A4B
BenchmarkGemini 3.5 FlashGemma 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$0.0060Fits 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$0.102Fits 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$0.390Fits 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 and Gemma 4 26B A4B
SpecificationGoogle Gemini 3.5 FlashGoogle Gemma 4 26B A4B
MakerGoogleGoogle
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026April 3, 2026
Context window1.05M262K
Input $/Mtok$1.50$0.15
Output $/Mtok$9.00$0.60
Coding index39.8Not benchmarked
Independent measurements behind it41
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Gemini 3.5 Flash has a coding score, 39.8 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 15.0x cheaper ($0.60 vs $9.00 per million) and work measured by ALE-Bench, where it leads.

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

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 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 only.

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

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

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

51 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash'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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