Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

GPT-5 vs ReMM SLERP 13B benchmark

Name: GPT-5 vs ReMM SLERP 13B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-5 (OpenAI) and ReMM SLERP 13B (undi95) using the latest snapshots we have as of Aug 17, 2026. ReMM SLERP 13B wins on output price at $0.65/1M. GPT-5 has the larger context window (400k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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OpenAI

GPT-5

OpenAI flagship reasoning model for 2025–26. Strong general preference Elo and multimodal coverage.

Elo 1,558$10/1M out

undi95

ReMM SLERP 13B

Auto-discovered from OpenRouter (undi95/remm-slerp-l2-13b). Preview until a second source matches.

$0.65/1M out

GPT-5 Inference Compute Profile

Inference-Time Compute & Reasoning EffortDynamic CoT

GPT-5 Reasoning Scaler & Token Billing Simulator

Param: reasoning_effort

Reasoning models scale test-time compute by generating hidden chain-of-thought (CoT) tokens. These tokens are billed at standard output rates and directly expand latency (TTFT) in exchange for higher GPQA Diamond and SWE-bench Verified problem resolve rates.

Estimated TTFT

290 ms

1.0x (Standard eval)

CoT Thinking Tokens

~1,500

Billed as output tokens

Est. Cost / 1k Calls

$18.63

5.1x base invoice

STEM / SWE Boost

+4.5%

GPQA & SWE-bench scaling

Medium (Standard) Operational Profile

Default evaluation baseline balancing reasoning depth with stream rate.

Direct Provider APIOpenAI

"reasoning_effort": "medium"

OpenRouter Unified APIUnified Gateway

"reasoning": {
  "effort": "medium",
  "max_tokens": 1500
}

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5 (8)vsReMM SLERP 13B (2)

GPT-5: 8W (80%)Overall: GPT-5ReMM SLERP 13B: 2W (20%)

← GPT-5ReMM SLERP 13B →

GPT-5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,558vs—

Coding Elo

1,540vs—

SWE-bench

68.4%vs—

LiveBench

69.8%vs—

GPQA Diamond

85.2%vs—

GPT-5: 5WReMM SLERP 13B: 0W

GPT-5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

78 tok/svs—

Time to first token

290 msvs—

GPT-5: 2WReMM SLERP 13B: 0W

ReMM SLERP 13B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.65/1M

Input price

$1.25/1Mvs$0.45/1M

Context window

400kvs6k

GPT-5: 1WReMM SLERP 13B: 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGPT-5 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

ReMM SLERP 13B

$9.35/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,558

EloHigh is better

—

Code Elo

High is better

1,540

Code EloHigh is better

—

LiveBench

High is better

69.8%

LiveBenchHigh is better

—

SWE-bench

High is better

68.4%

SWE-benchHigh is better

—

GPQA

High is better

85.2%

GPQAHigh is better

—

TTFT

Low is better

290 ms

TTFTLow is better

—

Speed

High is better

78 tok/s

SpeedHigh is better

—

In $

Low is better

$1.25 / 1M

In $Low is better

$0.45 / 1M+178%

Out $

Low is better

$10.00 / 1M

Out $Low is better

$0.65 / 1M+1438%

Context

High is better

+6410%400k

ContextHigh is better

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 87% with ReMM SLERP 13B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

GPT-5$193.75 / mo

In: $43.75Out: $150

ReMM SLERP 13B$25.50 / mo

In: $15.75Out: $9.75

Estimated Cost Delta

ReMM SLERP 13B is estimated to save $168.25/month ($2,019/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
ReMM SLERP 13B:Pick ReMM SLERP 13B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatReMM SLERP 13B

Lower output list price ($0.65/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

GPT-5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	ReMM SLERP 13B	Lower output list price ($0.65/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	GPT-5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchAug 8, 2025

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Still a common compare target. 5.6 Sol replaced it as the buy; GPT-5 stays for old URLs.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE

OpenAI

GPT-5

Elo 1,558

LiveBench69.8%

SWE-bench68.4%

Speed78 tok/s

Output cost$10/1M

undi95

ReMM SLERP 13B

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.65/1M

Frequently Asked Questions

Which is better overall, GPT-5 or ReMM SLERP 13B?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, GPT-5 or ReMM SLERP 13B?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: ReMM SLERP 13B output tokens are $0.65/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-5 or ReMM SLERP 13B?: We do not have TTFT for both models.
Which has the larger context window?: GPT-5 accepts 400k tokens versus 6k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-5 and ReMM SLERP 13B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-5 matchups →|All ReMM SLERP 13B matchups →

GPT-5 vs GPT-4.5 Orion (previous gpt-flagship)GPT-5 vs GPT-5.6 Sol (next gpt-flagship)GPT-5.6 Terra vs GPT-5 OpenAI: o3 Mini vs GPT-5 OpenAI: o1 vs GPT-5 GLM-5.3 vs GPT-5

GPT-5 vs ReMM SLERP 13B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5 (8)vsReMM SLERP 13B (2)

GPT-5: 8W (80%)Overall: GPT-5ReMM SLERP 13B: 2W (20%)

← GPT-5ReMM SLERP 13B →

GPT-5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,558vs—

Coding Elo

1,540vs—

SWE-bench

68.4%vs—

LiveBench

69.8%vs—

GPQA Diamond

85.2%vs—

GPT-5: 5WReMM SLERP 13B: 0W

GPT-5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

78 tok/svs—

Time to first token

290 msvs—

GPT-5: 2WReMM SLERP 13B: 0W

ReMM SLERP 13B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.65/1M

Input price

$1.25/1Mvs$0.45/1M

Context window

400kvs6k

GPT-5: 1WReMM SLERP 13B: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatReMM SLERP 13B

Lower output list price ($0.65/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

GPT-5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	ReMM SLERP 13B	Lower output list price ($0.65/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	GPT-5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-5 or ReMM SLERP 13B?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, GPT-5 or ReMM SLERP 13B?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

ReMM SLERP 13B output tokens are $0.65/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-5 or ReMM SLERP 13B?

We do not have TTFT for both models.

Which has the larger context window?

GPT-5 accepts 400k tokens versus 6k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-5 and ReMM SLERP 13B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

GPT-5 Reasoning Scaler & Token Billing Simulator

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

ReMM SLERP 13B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-5

ReMM SLERP 13B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

GPT-5 Reasoning Scaler & Token Billing Simulator

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

ReMM SLERP 13B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-5

ReMM SLERP 13B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons