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Gemini 2.5 Pro vs Granite 4.2 8B

Gemini 2.5 Pro leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 16.1 to 11.1, and Granite 4.2 8B costs 50.0x less per output token ($0.20 vs $10.00 per million). Updated October 22, 2026; 27 benchmarks have a result for both.

Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
27
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
0
vs boards won of 27 shared

Gemini 2.5 Pro or Granite 4.2 8B: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Granite 4.2 8B has none, so the two cannot be ranked on coding.

Pick Granite 4.2 8B for output tokens 50.0x cheaper ($0.20 vs $10.00 per million).

Shared results
27
Gemini 2.5 Pro only
63
Granite 4.2 8B only
0
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
Gemini 2.5 Pro 19.1 from 3 benchmarks, Granite 4.2 8B not benchmarked.
Widest category
General, 25.8 points apart on average over 12 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Gemini 2.5 Pro 1454 against Granite 4.2 8B 1236, 36.3 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Granite 4.2 8B $0.20 per million output tokens, 50.0x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, Granite 4.2 8B 131K.

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 ProBarsGranite 4.2 8BTies
Coding40
Intelligence10
Agentic work10
Reasoning50
Knowledge40
General120
All shared boards270
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev1226Not measuredOnly Gemini 2.5 Pro measured
AA Coding Index33.322.4Gemini 2.5 Pro
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%31.5%Gemini 2.5 Pro
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: coding14521378Gemini 2.5 Pro
LMArena Text: software and IT14591367Gemini 2.5 Pro
LMArena WebDev: HTML1235Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
AA Intelligence Index16.111.1Gemini 2.5 Pro
Epoch Capabilities Index145.1Not measuredOnly Gemini 2.5 Pro measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
AA Agentic Index1.61.3Gemini 2.5 Pro
τ²-Bench Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
GPQA Diamond (Artificial Analysis run)84.4%63.1%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%9.7%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts14551327Gemini 2.5 Pro
LMArena Text: expert14521386Gemini 2.5 Pro
LMArena Text: hard prompts in English14531345Gemini 2.5 Pro
LMArena Vision: diagrams1274Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: homework1281Not measuredOnly Gemini 2.5 Pro measured
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math1450Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: mathematical work1454Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%Not measuredOnly Gemini 2.5 Pro measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: science14801336Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761336Gemini 2.5 Pro
LMArena Text: legal and government14801327Gemini 2.5 Pro
LMArena Text: business and finance14391322Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
Design Arena: websites1167Not measuredOnly Gemini 2.5 Pro measured
Design Arena: UI components1137Not measuredOnly Gemini 2.5 Pro measured
Design Arena: game dev1111Not measuredOnly Gemini 2.5 Pro measured
Design Arena: data viz1222Not measuredOnly Gemini 2.5 Pro measured
Design Arena: 3D1080Not measuredOnly Gemini 2.5 Pro measured
Design Arena: all code categories1152Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
General benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%45.0%Gemini 2.5 Pro
DTBench82.4%Not measuredOnly Gemini 2.5 Pro measured
LMCA34.8%Not measuredOnly Gemini 2.5 Pro measured
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581319Gemini 2.5 Pro
LMArena Text: instruction following14371300Gemini 2.5 Pro
LMArena Text: creative writing14541236Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581337Gemini 2.5 Pro
LMArena Text: non-English14521301Gemini 2.5 Pro
LMArena Text: Chinese15071367Gemini 2.5 Pro
LMArena Text: German1487Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Japanese1461Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Korean1434Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: French1473Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Spanish1474Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Russian14611282Gemini 2.5 Pro
LMArena Text: Polish1479Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: multi-turn14531301Gemini 2.5 Pro
LMArena Text: longer queries14491325Gemini 2.5 Pro
LMArena Text: writing and language14541269Gemini 2.5 Pro
LMArena Text: entertainment and media14411271Gemini 2.5 Pro
LMArena Vision: English1261Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: Chinese1300Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: reading text1270Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: humor1262Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing1265Not measuredOnly Gemini 2.5 Pro measured
LMArena Document1421Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and Granite 4.2 8B
BenchmarkGemini 2.5 ProGranite 4.2 8BLeader
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 Pro$0.0063Fits in one request
Granite 4.2 8B$0.0002Fits in one request

Granite 4.2 8B costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Granite 4.2 8B$0.0046Fits in one request

Granite 4.2 8B costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Granite 4.2 8B$0.018Exceeds the context window

Granite 4.2 8B 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 Pro and Granite 4.2 8B
SpecificationGoogle Gemini 2.5 ProIBM Granite 4.2 8B
MakerGoogleIBM Granite
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025August 31, 2026
Context window1.05M131K
Input $/Mtok$1.25$0.08
Output $/Mtok$10.00$0.20
Coding index19.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Granite 4.2 8B for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Granite 4.2 8B has none, so the two cannot be ranked on coding. Pick Granite 4.2 8B for output tokens 50.0x cheaper ($0.20 vs $10.00 per million).

Which is cheaper, Gemini 2.5 Pro or Granite 4.2 8B?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Granite 4.2 8B costs $0.08 and $0.20. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or Granite 4.2 8B?

Gemini 2.5 Pro, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Pro vs Granite 4.2 8B comparison based on?

27 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Granite 4.2 8B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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