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Granite 4.2 8B vs Qwen2.5 Coder 32B Instruct

Granite 4.2 8B leads Qwen2.5 Coder 32B Instruct on the Artificial Analysis Intelligence Index, 11.1 to 6.7, and Granite 4.2 8B costs 5.0x less per output token ($0.20 vs $1.00 per million). Updated October 22, 2026; 23 benchmarks have a result for both.

Replace Granite 4.2 8B Replace Qwen2.5 Coder 32B Instruct
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
23
Qwen2.5 Coder 32B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
0
vs boards won of 23 shared

Granite 4.2 8B or Qwen2.5 Coder 32B Instruct: which to pick

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

Pick Granite 4.2 8B for output tokens 5.0x cheaper ($0.20 vs $1.00 per million) and a larger context window (131K against 33K tokens).

Model AGranite 4.2 8BIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen2.5 Coder 32B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
23
Granite 4.2 8B only
4
Qwen2.5 Coder 32B Instruct only
12
Like-for-like categories
5 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
Granite 4.2 8B not benchmarked, Qwen2.5 Coder 32B Instruct not benchmarked.
Widest category
Knowledge, 18.0 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: expert: Granite 4.2 8B 1386 against Qwen2.5 Coder 32B Instruct 1221, 27.6 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against Qwen2.5 Coder 32B Instruct $1.00 per million output tokens, 5.0x apart.
Context window
Granite 4.2 8B takes 131K tokens, Qwen2.5 Coder 32B Instruct 33K.

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
CategoryGranite 4.2 8BBarsQwen2.5 Coder 32B InstructTies
Coding20
Intelligence10
Reasoning50
Knowledge40
General110
All shared boards230
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
Aider polyglotNot measured16.4%Only Qwen2.5 Coder 32B Instruct measured
SWE-bench VerifiedNot measured47.0%Only Qwen2.5 Coder 32B Instruct measured
AA Coding Index22.4Not measuredOnly Granite 4.2 8B measured
LiveCodeBench (Artificial Analysis run)Not measured29.5%Only Qwen2.5 Coder 32B Instruct measured
SciCode31.5%Not measuredOnly Granite 4.2 8B measured
LMArena Text: coding13781276Granite 4.2 8B
LMArena Text: software and IT13671261Granite 4.2 8B
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
AA Intelligence Index11.16.7Granite 4.2 8B
Epoch Capabilities IndexNot measured119.5Only Qwen2.5 Coder 32B Instruct measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
AA Agentic Index1.3Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
GPQA Diamond (Artificial Analysis run)63.1%41.7%Granite 4.2 8B
Humanity's Last Exam (Artificial Analysis run)9.7%3.5%Granite 4.2 8B
LMArena Text: hard prompts13271251Granite 4.2 8B
LMArena Text: expert13861221Granite 4.2 8B
LMArena Text: hard prompts in English13451269Granite 4.2 8B
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
GSM8KNot measured93.0%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: mathNot measured1251Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: mathematical workNot measured1243Only Qwen2.5 Coder 32B Instruct measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
MMLU Pro (Artificial Analysis run)Not measured63.5%Only Qwen2.5 Coder 32B Instruct measured
MMLUNot measured79.1%Only Qwen2.5 Coder 32B Instruct measured
AI2 Reasoning ChallengeNot measured70.5%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: science13361221Granite 4.2 8B
LMArena Text: medicine and healthcare13361187Granite 4.2 8B
LMArena Text: legal and government13271257Granite 4.2 8B
LMArena Text: business and finance13221224Granite 4.2 8B
Neither model has a result on the other 11 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index110
General benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
Long context reasoning (AA-LCR)45.0%Not measuredOnly Granite 4.2 8B measured
HellaSwagNot measured83.0%Only Qwen2.5 Coder 32B Instruct measured
WinoGrandeNot measured80.8%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text13191230Granite 4.2 8B
LMArena Text: instruction following13001223Granite 4.2 8B
LMArena Text: creative writing12361174Granite 4.2 8B
LMArena Text: English13371248Granite 4.2 8B
LMArena Text: non-English13011205Granite 4.2 8B
LMArena Text: Chinese13671222Granite 4.2 8B
LMArena Text: Russian12821228Granite 4.2 8B
LMArena Text: multi-turn13011222Granite 4.2 8B
LMArena Text: longer queries13251251Granite 4.2 8B
LMArena Text: writing and language12691191Granite 4.2 8B
LMArena Text: entertainment and media12711150Granite 4.2 8B
Neither model has a result on the other 32 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
BenchmarkGranite 4.2 8BQwen2.5 Coder 32B InstructLeader
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

Granite 4.2 8B$0.0002Fits in one request
Qwen2.5 Coder 32B Instruct$0.0012Fits in one request

Granite 4.2 8B costs less

Repository review

50K input + 3K output tokens

Granite 4.2 8B$0.0046Fits in one request
Qwen2.5 Coder 32B Instruct$0.036Exceeds the context window

Granite 4.2 8B costs less

Agent loop

200K input + 10K output tokens

Granite 4.2 8B$0.018Exceeds the context window
Qwen2.5 Coder 32B Instruct$0.142Exceeds 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 Granite 4.2 8B and Qwen2.5 Coder 32B Instruct
SpecificationIBM Granite 4.2 8BQwen2.5 Coder 32B Instruct
MakerIBM GraniteQwen
WeightsOpen weightsOpen weights
ReleasedAugust 31, 2026November 11, 2024
Context window131K33K
Input $/Mtok$0.08$0.66
Output $/Mtok$0.20$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.2 8B better than Qwen2.5 Coder 32B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Granite 4.2 8B for output tokens 5.0x cheaper ($0.20 vs $1.00 per million) and a larger context window (131K against 33K tokens).

Which is cheaper, Granite 4.2 8B or Qwen2.5 Coder 32B Instruct?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Qwen2.5 Coder 32B Instruct costs $0.66 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.2 8B or Qwen2.5 Coder 32B Instruct?

Granite 4.2 8B, with 131K tokens against 33K.

How many benchmarks is the Granite 4.2 8B vs Qwen2.5 Coder 32B Instruct comparison based on?

23 benchmarks have a result for both models as of October 22, 2026. Granite 4.2 8B's coding index rests on 0 independent benchmarks and Qwen2.5 Coder 32B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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