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Gemini 2.5 Flash vs Gemma 4 26B A4B

Gemma 4 26B A4B leads Gemini 2.5 Flash on the Artificial Analysis Intelligence Index, 16.7 to 15.5, and Gemma 4 26B A4B costs 4.2x less per output token ($0.60 vs $2.50 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace Gemma 4 26B A4B
Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
7
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
38
vs boards won of 45 shared

Gemini 2.5 Flash or Gemma 4 26B A4B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash for a larger context window (1.05M against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel BGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
45
Gemini 2.5 Flash only
28
Gemma 4 26B A4B only
10
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 2.5 Flash not benchmarked, Gemma 4 26B A4B not benchmarked.
Widest category
Agentic work, 12.0 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: Gemini 2.5 Flash 50.3% against Gemma 4 26B A4B 72.4%, 22.2 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Gemma 4 26B A4B $0.60 per million output tokens, 4.2x apart.
Context window
Gemini 2.5 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 2.5 FlashBarsGemma 4 26B A4BTies
Coding03
Intelligence11
Agentic work01
Reasoning07
Math02
Knowledge23
General421
All shared boards738
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LMArena WebDevNot measured1360Only Gemma 4 26B A4B measured
AA Coding IndexNot measured39.3Only Gemma 4 26B A4B measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
SciCodeNot measured40.0%Only Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)13.6%25.0%Gemma 4 26B A4B
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
WeirdMLNot measured35.2%Only Gemma 4 26B A4B measured
ALE-BenchNot measured927.2Only Gemma 4 26B A4B measured
LMArena Text: coding14231446Gemma 4 26B A4B
LMArena Text: software and IT14251454Gemma 4 26B A4B
LMArena WebDev: ReactNot measured1351Only Gemma 4 26B A4B measured
LMArena WebDev: HTMLNot measured1362Only Gemma 4 26B A4B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
AA Intelligence Index15.516.7Gemma 4 26B A4B
Epoch Capabilities Index142.9141.9Gemini 2.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
AA Agentic IndexNot measured2.9Only Gemma 4 26B A4B measured
τ²-Bench Telecom31.6%43.6%Gemma 4 26B A4B
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%Not measuredOnly Gemini 2.5 Flash measured
BrowseComp-Plus39.9%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
GPQA Diamond (Artificial Analysis run)79.0%79.2%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)12.1%19.3%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)Not measured73.2%Only Gemma 4 26B A4B measured
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts14221438Gemma 4 26B A4B
LMArena Text: expert14261447Gemma 4 26B A4B
LMArena Text: hard prompts in English14201448Gemma 4 26B A4B
LMArena Vision: diagrams12451264Gemma 4 26B A4B
LMArena Vision: homework12441293Gemma 4 26B A4B
Kagi LLM Benchmark56.8%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
OTIS Mock AIMENot measured82.2%Only Gemma 4 26B A4B measured
LMArena Text: math14111470Gemma 4 26B A4B
LMArena Text: mathematical work14221475Gemma 4 26B A4B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science14331446Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281428Gemini 2.5 Flash
LMArena Text: legal and government14301457Gemma 4 26B A4B
LMArena Text: business and finance14041429Gemma 4 26B A4B
FACTS Benchmark Suite47.2%42.7%Gemini 2.5 Flash
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
Design Arena: websites1074Not measuredOnly Gemini 2.5 Flash measured
Design Arena: UI components1002Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1004Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
Design Arena: 3D1020Not measuredOnly Gemini 2.5 Flash measured
Design Arena: all code categories1059Not measuredOnly Gemini 2.5 Flash measured
Design Arena: SVG1020Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index421
General benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 FlashGemma 4 26B A4BLeader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%72.4%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.3%65.7%Gemma 4 26B A4B
DTBench76.5%74.9%Gemini 2.5 Flash
LMCA27.5%29.7%Gemma 4 26B A4B
LMArena Text14171434Gemma 4 26B A4B
LMArena Text: instruction following14051420Gemma 4 26B A4B
LMArena Text: creative writing14001400Gemma 4 26B A4B
LMArena Vision12351260Gemma 4 26B A4B
LMArena Text: English14181444Gemma 4 26B A4B
LMArena Text: non-English14091421Gemma 4 26B A4B
LMArena Text: Chinese14491495Gemma 4 26B A4B
LMArena Text: German1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean1385Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: French14321460Gemma 4 26B A4B
LMArena Text: Spanish14221415Gemini 2.5 Flash
LMArena Text: Russian14151434Gemma 4 26B A4B
LMArena Text: Polish1413Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: multi-turn14081441Gemma 4 26B A4B
LMArena Text: longer queries14191427Gemma 4 26B A4B
LMArena Text: writing and language14051405Gemini 2.5 Flash
LMArena Text: entertainment and media13931403Gemma 4 26B A4B
LMArena Vision: English12391256Gemma 4 26B A4B
LMArena Vision: Chinese12841312Gemma 4 26B A4B
LMArena Vision: reading text12371268Gemma 4 26B A4B
LMArena Vision: humor12251272Gemma 4 26B A4B
LMArena Vision: captioning12771297Gemma 4 26B A4B
LMArena Vision: recognizing things12521191Gemini 2.5 Flash
LMArena Vision: creative writing12411256Gemma 4 26B A4B
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash and Gemma 4 26B A4B
BenchmarkGemini 2.5 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 2.5 Flash$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 2.5 Flash$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 2.5 Flash$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 2.5 Flash and Gemma 4 26B A4B
SpecificationGoogle Gemini 2.5 FlashGoogle Gemma 4 26B A4B
MakerGoogleGoogle
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025April 3, 2026
Context window1.05M262K
Input $/Mtok$0.30$0.15
Output $/Mtok$2.50$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Gemma 4 26B A4B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a larger context window (1.05M against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, Gemini 2.5 Flash or Gemma 4 26B A4B?

Gemini 2.5 Flash 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 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Gemma 4 26B A4B?

Gemini 2.5 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Flash vs Gemma 4 26B A4B comparison based on?

45 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 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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