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GPT-5.2 Pro vs Granite 4.2 8B

Granite 4.2 8B costs 840.0x less per output token than GPT-5.2 Pro ($0.20 vs $168.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-5.2 Pro Replace Granite 4.2 8B
GPT-5.2 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$168.00
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
vs $168.00 vs $0.20 per 1M output tokens. Granite 4.2 8B is 840.0x cheaper.

GPT-5.2 Pro or Granite 4.2 8B: which to pick

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

Pick GPT-5.2 Pro for a larger context window (400K against 131K tokens).

Model AGPT-5.2 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGranite 4.2 8BIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-5.2 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; Granite 4.2 8B on AA Coding Index, SciCode and LMArena Text: coding. Compare them on price and context instead.

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
GPT-5.2 Pro not benchmarked, Granite 4.2 8B not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GPT-5.2 Pro $168.00 against Granite 4.2 8B $0.20 per million output tokens, 840.0x apart.
Context window
GPT-5.2 Pro takes 400K tokens, Granite 4.2 8B 131K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured
Coding benchmarks for GPT-5.2 Pro and Granite 4.2 8B
BenchmarkGPT-5.2 ProGranite 4.2 8BLeader
AA Coding IndexNot measured22.4Only Granite 4.2 8B measured
SciCodeNot measured31.5%Only Granite 4.2 8B measured
LMArena Text: codingNot measured1378Only Granite 4.2 8B measured
LMArena Text: software and ITNot measured1367Only Granite 4.2 8B measured
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for GPT-5.2 Pro and Granite 4.2 8B
BenchmarkGPT-5.2 ProGranite 4.2 8BLeader
AA Intelligence IndexNot measured11.1Only Granite 4.2 8B measured
Epoch Capabilities Index156.3Not measuredOnly GPT-5.2 Pro measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for GPT-5.2 Pro and Granite 4.2 8B
BenchmarkGPT-5.2 ProGranite 4.2 8BLeader
AA Agentic IndexNot measured1.3Only Granite 4.2 8B measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Reasoning benchmarks for GPT-5.2 Pro and Granite 4.2 8B
BenchmarkGPT-5.2 ProGranite 4.2 8BLeader
GPQA Diamond (Artificial Analysis run)Not measured63.1%Only Granite 4.2 8B measured
Humanity's Last Exam (Artificial Analysis run)Not measured9.7%Only Granite 4.2 8B measured
ARC-AGI90.5%Not measuredOnly GPT-5.2 Pro measured
ARC-AGI-254.2%Not measuredOnly GPT-5.2 Pro measured
SimpleBench57.4%Not measuredOnly GPT-5.2 Pro measured
Chess puzzles60.0%Not measuredOnly GPT-5.2 Pro measured
LMArena Text: hard promptsNot measured1327Only Granite 4.2 8B measured
LMArena Text: expertNot measured1386Only Granite 4.2 8B measured
LMArena Text: hard prompts in EnglishNot measured1345Only Granite 4.2 8B measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for GPT-5.2 Pro and Granite 4.2 8B
BenchmarkGPT-5.2 ProGranite 4.2 8BLeader
FrontierMath, tiers 1 to 374.0%Not measuredOnly GPT-5.2 Pro measured
FrontierMath, tier 446.0%Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for GPT-5.2 Pro and Granite 4.2 8B
BenchmarkGPT-5.2 ProGranite 4.2 8BLeader
LMArena Text: scienceNot measured1336Only Granite 4.2 8B measured
LMArena Text: medicine and healthcareNot measured1336Only Granite 4.2 8B measured
LMArena Text: legal and governmentNot measured1327Only Granite 4.2 8B measured
LMArena Text: business and financeNot measured1322Only Granite 4.2 8B measured
Neither model has a result on the other 14 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
General benchmarks for GPT-5.2 Pro and Granite 4.2 8B
BenchmarkGPT-5.2 ProGranite 4.2 8BLeader
Long context reasoning (AA-LCR)Not measured45.0%Only Granite 4.2 8B measured
LMArena TextNot measured1319Only Granite 4.2 8B measured
LMArena Text: instruction followingNot measured1300Only Granite 4.2 8B measured
LMArena Text: creative writingNot measured1236Only Granite 4.2 8B measured
LMArena Text: EnglishNot measured1337Only Granite 4.2 8B measured
LMArena Text: non-EnglishNot measured1301Only Granite 4.2 8B measured
LMArena Text: ChineseNot measured1367Only Granite 4.2 8B measured
LMArena Text: RussianNot measured1282Only Granite 4.2 8B measured
LMArena Text: multi-turnNot measured1301Only Granite 4.2 8B measured
LMArena Text: longer queriesNot measured1325Only Granite 4.2 8B measured
LMArena Text: writing and languageNot measured1269Only Granite 4.2 8B measured
LMArena Text: entertainment and mediaNot measured1271Only Granite 4.2 8B measured
Neither model has a result on the other 34 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

GPT-5.2 Pro$0.105Fits 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

GPT-5.2 Pro$1.55Fits 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

GPT-5.2 Pro$5.88Fits 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 GPT-5.2 Pro and Granite 4.2 8B
SpecificationOpenAI GPT-5.2 ProIBM Granite 4.2 8B
MakerOpenAIIBM Granite
WeightsNo public weights listedOpen weights
ReleasedDecember 10, 2025August 31, 2026
Context window400K131K
Input $/Mtok$21.00$0.08
Output $/Mtok$168.00$0.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 Pro better than Granite 4.2 8B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.2 Pro for a larger context window (400K against 131K tokens).

Which is cheaper, GPT-5.2 Pro or Granite 4.2 8B?

GPT-5.2 Pro costs $21.00 per million input tokens and $168.00 per million output tokens; Granite 4.2 8B costs $0.08 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.2 Pro or Granite 4.2 8B?

GPT-5.2 Pro, with 400K tokens against 131K.

Has any benchmark tested both GPT-5.2 Pro and Granite 4.2 8B?

No benchmark has tested both yet. GPT-5.2 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; Granite 4.2 8B on AA Coding Index, SciCode and LMArena Text: coding. Compare them on price and context instead. Data as of October 22, 2026.

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