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GPT-5.2 Pro vs ReMM SLERP 13B

ReMM SLERP 13B costs 258.5x less per output token than GPT-5.2 Pro ($0.65 vs $168.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-5.2 Pro Replace ReMM SLERP 13B
GPT-5.2 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$168.00
U ReMM SLERP 13BUndi95
Coding
No data
Overall
No data
Output $/M
$0.65
vs $168.00 vs $0.65 per 1M output tokens. ReMM SLERP 13B is 258.5x cheaper.

GPT-5.2 Pro or ReMM SLERP 13B: 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 6K tokens).

Model AGPT-5.2 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BReMM SLERP 13BUndi95Not 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; ReMM SLERP 13B has none yet. 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, ReMM SLERP 13B 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 ReMM SLERP 13B $0.65 per million output tokens, 258.5x apart.
Context window
GPT-5.2 Pro takes 400K tokens, ReMM SLERP 13B 6K.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-5.2 Pro and ReMM SLERP 13B
BenchmarkGPT-5.2 ProReMM SLERP 13BLeader
Epoch Capabilities Index156.3Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Reasoning benchmarks for GPT-5.2 Pro and ReMM SLERP 13B
BenchmarkGPT-5.2 ProReMM SLERP 13BLeader
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
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for GPT-5.2 Pro and ReMM SLERP 13B
BenchmarkGPT-5.2 ProReMM SLERP 13BLeader
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 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Knowledge benchmarks for GPT-5.2 Pro and ReMM SLERP 13B
BenchmarkGPT-5.2 ProReMM SLERP 13BLeader
PRBench Finance46.3%Not measuredOnly GPT-5.2 Pro measured
PRBench Legal45.4%Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 18 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
ReMM SLERP 13B$0.0007Fits in one request

ReMM SLERP 13B costs less

Repository review

50K input + 3K output tokens

GPT-5.2 Pro$1.55Fits in one request
ReMM SLERP 13B$0.019Exceeds the context window

ReMM SLERP 13B costs less

Agent loop

200K input + 10K output tokens

GPT-5.2 Pro$5.88Fits in one request
ReMM SLERP 13B$0.076Exceeds the context window

ReMM SLERP 13B 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 ReMM SLERP 13B
SpecificationOpenAI GPT-5.2 ProReMM SLERP 13B
MakerOpenAIUndi95
WeightsNo public weights listedOpen weights
ReleasedDecember 10, 2025July 22, 2023
Context window400K6K
Input $/Mtok$21.00$0.35
Output $/Mtok$168.00$0.65
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 ReMM SLERP 13B 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 6K tokens).

Which is cheaper, GPT-5.2 Pro or ReMM SLERP 13B?

GPT-5.2 Pro costs $21.00 per million input tokens and $168.00 per million output tokens; ReMM SLERP 13B costs $0.35 and $0.65. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.2 Pro or ReMM SLERP 13B?

GPT-5.2 Pro, with 400K tokens against 6K.

Has any benchmark tested both GPT-5.2 Pro and ReMM SLERP 13B?

No benchmark has tested both yet. GPT-5.2 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; ReMM SLERP 13B has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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