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GPT-4 vs ReMM SLERP 13B

ReMM SLERP 13B costs 92.3x less per output token than GPT-4 ($0.65 vs $60.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-4 Replace ReMM SLERP 13B
GPT-4OpenAI
Coding
No data
Overall
No data
Output $/M
$60.00
U ReMM SLERP 13BUndi95
Coding
No data
Overall
No data
Output $/M
$0.65
vs $60.00 vs $0.65 per 1M output tokens. ReMM SLERP 13B is 92.3x cheaper.

GPT-4 or ReMM SLERP 13B: which to pick

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

Pick GPT-4 for a larger context window (8K against 6K tokens).

Model AGPT-4OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BReMM SLERP 13BUndi95Not benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-4 has results on SWE-bench Verified, SWE-bench Lite and SWE-bench (full test set); 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-4 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-4 $60.00 against ReMM SLERP 13B $0.65 per million output tokens, 92.3x apart.
Context window
GPT-4 takes 8K 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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards measured
Coding benchmarks for GPT-4 and ReMM SLERP 13B
BenchmarkGPT-4ReMM SLERP 13BLeader
SWE-bench Verified22.4%Not measuredOnly GPT-4 measured
SWE-bench Lite39.7%Not measuredOnly GPT-4 measured
SWE-bench (full test set)12.5%Not measuredOnly GPT-4 measured
AA Coding Index13.1Not measuredOnly GPT-4 measured
LMArena Text: coding1209Not measuredOnly GPT-4 measured
LMArena Text: software and IT1195Not measuredOnly GPT-4 measured
Neither model has a result on the other 33 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for GPT-4 and ReMM SLERP 13B
BenchmarkGPT-4ReMM SLERP 13BLeader
AA Intelligence Index6.7Not measuredOnly GPT-4 measured
Epoch Capabilities Index125.7Not measuredOnly GPT-4 measured
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for GPT-4 and ReMM SLERP 13B
BenchmarkGPT-4ReMM SLERP 13BLeader
GPQA Diamond (Artificial Analysis run)34.9%Not measuredOnly GPT-4 measured
BIG-Bench Hard75.1%Not measuredOnly GPT-4 measured
LMArena Text: hard prompts1200Not measuredOnly GPT-4 measured
LMArena Text: expert1149Not measuredOnly GPT-4 measured
LMArena Text: hard prompts in English1209Not measuredOnly GPT-4 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Math benchmarks for GPT-4 and ReMM SLERP 13B
BenchmarkGPT-4ReMM SLERP 13BLeader
GSM8K92.0%Not measuredOnly GPT-4 measured
LMArena Text: math1230Not measuredOnly GPT-4 measured
LMArena Text: mathematical work1228Not measuredOnly GPT-4 measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Knowledge benchmarks for GPT-4 and ReMM SLERP 13B
BenchmarkGPT-4ReMM SLERP 13BLeader
MMLU Pro (Artificial Analysis run)56.2%Not measuredOnly GPT-4 measured
MMLU86.4%Not measuredOnly GPT-4 measured
AI2 Reasoning Challenge96.3%Not measuredOnly GPT-4 measured
LMArena Text: science1177Not measuredOnly GPT-4 measured
LMArena Text: medicine and healthcare1145Not measuredOnly GPT-4 measured
LMArena Text: legal and government1191Not measuredOnly GPT-4 measured
LMArena Text: business and finance1145Not measuredOnly GPT-4 measured
Neither model has a result on the other 11 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index22 boards measured
General benchmarks for GPT-4 and ReMM SLERP 13B
BenchmarkGPT-4ReMM SLERP 13BLeader
IFBench33.2%Not measuredOnly GPT-4 measured
DTBench62.7%Not measuredOnly GPT-4 measured
LMCA17.1%Not measuredOnly GPT-4 measured
HellaSwag95.3%Not measuredOnly GPT-4 measured
WinoGrande87.5%Not measuredOnly GPT-4 measured
LMArena Text1206Not measuredOnly GPT-4 measured
LMArena Text: instruction following1201Not measuredOnly GPT-4 measured
LMArena Text: creative writing1191Not measuredOnly GPT-4 measured
LMArena Text: English1220Not measuredOnly GPT-4 measured
LMArena Text: non-English1194Not measuredOnly GPT-4 measured
LMArena Text: Chinese1184Not measuredOnly GPT-4 measured
LMArena Text: German1198Not measuredOnly GPT-4 measured
LMArena Text: Japanese1137Not measuredOnly GPT-4 measured
LMArena Text: Korean1087Not measuredOnly GPT-4 measured
LMArena Text: French1220Not measuredOnly GPT-4 measured
LMArena Text: Spanish1197Not measuredOnly GPT-4 measured
LMArena Text: Russian1195Not measuredOnly GPT-4 measured
LMArena Text: Polish1265Not measuredOnly GPT-4 measured
LMArena Text: multi-turn1206Not measuredOnly GPT-4 measured
LMArena Text: longer queries1190Not measuredOnly GPT-4 measured
LMArena Text: writing and language1219Not measuredOnly GPT-4 measured
LMArena Text: entertainment and media1184Not measuredOnly GPT-4 measured
Neither model has a result on the other 24 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-4$0.060Fits in one request
ReMM SLERP 13B$0.0007Fits in one request

ReMM SLERP 13B costs less

Repository review

50K input + 3K output tokens

GPT-4$1.68Exceeds the context window
ReMM SLERP 13B$0.019Exceeds the context window

ReMM SLERP 13B costs less

Agent loop

200K input + 10K output tokens

GPT-4$6.60Exceeds the context window
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-4 and ReMM SLERP 13B
SpecificationOpenAI GPT-4ReMM SLERP 13B
MakerOpenAIUndi95
WeightsNo public weights listedOpen weights
ReleasedMay 28, 2023July 22, 2023
Context window8K6K
Input $/Mtok$30.00$0.35
Output $/Mtok$60.00$0.65
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 better than ReMM SLERP 13B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4 for a larger context window (8K against 6K tokens).

Which is cheaper, GPT-4 or ReMM SLERP 13B?

GPT-4 costs $30.00 per million input tokens and $60.00 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-4 or ReMM SLERP 13B?

GPT-4, with 8K tokens against 6K.

Has any benchmark tested both GPT-4 and ReMM SLERP 13B?

No benchmark has tested both yet. GPT-4 has results on SWE-bench Verified, SWE-bench Lite and SWE-bench (full test set); ReMM SLERP 13B has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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