Pairwise benchmark snapshot · Aug 16, 2026

Claude 3.7 Sonnet vs GPT-5 benchmark

Name: Claude 3.7 Sonnet vs GPT-5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.7 Sonnet (Anthropic) and GPT-5 (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5 is ahead by 196 points (1,558 vs 1,362; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude 3.7 Sonnet resolves 70.3% versus 68.4% (seed-bootstrap (Aug 1, 2026)). Claude 3.7 Sonnet streams faster (85 tok/s) while GPT-5 is the cheaper output token ($10/1M). 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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Anthropic

Claude 3.7 Sonnet

Hybrid-reasoning Sonnet from 2025. Kept for historical compare pages.

Elo 1,362$15/1M out

OpenAI

GPT-5

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

Elo 1,558$10/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs GPT-5 mini

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.7 Sonnet (3)vsGPT-5 (7)

Claude 3.7 Sonnet: 3W (30%)Overall: GPT-5GPT-5: 7W (70%)

← Claude 3.7 SonnetGPT-5 →

GPT-5 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,362vs1,558

Coding Elo

—vs1,540

SWE-bench

70.3%vs68.4%

LiveBench

58.4%vs69.8%

GPQA Diamond

78.5%vs85.2%

Claude 3.7 Sonnet: 1WGPT-5: 4W

Claude 3.7 Sonnet (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs78 tok/s

Time to first token

240 msvs290 ms

Claude 3.7 Sonnet: 2WGPT-5: 0W

GPT-5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$10/1M

Input price

$3/1Mvs$1.25/1M

Context window

200kvs400k

Claude 3.7 Sonnet: 0WGPT-5: 3W

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 4/6

Preference Elo

GPT-5

196 pts advantage

Throughput Speed

Claude 3.7 Sonnet

7 tok/s faster

Price Efficiency

GPT-5

$5.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,362

EloHigh is better

1,558+14%

Code Elo

High is better

—

Code EloHigh is better

1,540

LiveBench

High is better

58.4%

LiveBenchHigh is better

69.8%+20%

SWE-bench

High is better

+3%70.3%

SWE-benchHigh is better

68.4%

GPQA

High is better

78.5%

GPQAHigh is better

85.2%+9%

TTFT

Low is better

+21%240 ms

TTFTLow is better

290 ms

Speed

High is better

+9%85 tok/s

SpeedHigh is better

78 tok/s

In $

Low is better

$3/1M

In $Low is better

$1.25/1M+140%

Out $

Low is better

$15/1M

Out $Low is better

$10/1M+50%

Context

High is better

200k

ContextHigh is better

400k+100%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 41% with GPT-5

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Claude 3.7 Sonnet$330.00 / mo

In: $105.00Out: $225.00

GPT-5$193.75 / mo

In: $43.75Out: $150.00

Estimated Cost Delta

GPT-5 is estimated to save $136.25/month ($1,635/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude 3.7 Sonnet:Pick Claude 3.7 Sonnet when repo-level coding accuracy is the constraint.
2
GPT-5:Pick GPT-5 when you are optimizing output cost.
3
Claude 3.7 Sonnet:Pick Claude 3.7 Sonnet when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude 3.7 Sonnet

Higher SWE-bench (70.3%).

High-volume chatGPT-5

Lower output list price ($10/1M).

Voice / low-latency UIClaude 3.7 Sonnet

Lower TTFT (240 ms).

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

Both accept images. Defaulting to the higher-Elo side (GPT-5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude 3.7 Sonnet	Higher SWE-bench (70.3%).
High-volume chat	GPT-5	Lower output list price ($10/1M).
Voice / low-latency UI	Claude 3.7 Sonnet	Lower TTFT (240 ms).
Long-document RAG	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	Both accept images. Defaulting to the higher-Elo side (GPT-5).

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.

newsFeb 25, 2025

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

2025 hybrid-reasoning Sonnet. Deprecated for buying, kept for old compare URLs and “what did 3.7 score?”

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LIVE

Anthropic

Claude 3.7 Sonnet

Elo 1,362

LiveBench58.4%

SWE-bench70.3%

Speed85 tok/s

Output cost$15/1M

OpenAI

GPT-5

Elo 1,558

LiveBench69.8%

SWE-bench68.4%

Speed78 tok/s

Output cost$10/1M

Frequently Asked Questions

Which is better overall, Claude 3.7 Sonnet or GPT-5?: GPT-5 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.7 Sonnet or GPT-5?: Claude 3.7 Sonnet leads SWE-bench at 70.3% vs 68.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GPT-5 output tokens are $10/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.7 Sonnet or GPT-5?: Claude 3.7 Sonnet has the lower time-to-first-token (240 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-5 accepts 400k tokens versus 200k.
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. Claude 3.7 Sonnet and GPT-5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3.7 Sonnet matchups →|All GPT-5 matchups →

Claude 3.7 Sonnet vs Claude 3.5 Sonnet (previous sonnet)Claude 3.7 Sonnet vs Claude Sonnet 4 (next sonnet)GPT-5 vs GPT-4.5 Orion (previous gpt-flagship)GPT-5 vs GPT-5.6 Sol (next gpt-flagship)Claude Opus 4.5 vs GPT-5 Claude Opus 4.6 vs GPT-5

Claude 3.7 Sonnet vs GPT-5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.7 Sonnet (3)vsGPT-5 (7)

Claude 3.7 Sonnet: 3W (30%)Overall: GPT-5GPT-5: 7W (70%)

← Claude 3.7 SonnetGPT-5 →

GPT-5 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,362vs1,558

Coding Elo

—vs1,540

SWE-bench

70.3%vs68.4%

LiveBench

58.4%vs69.8%

GPQA Diamond

78.5%vs85.2%

Claude 3.7 Sonnet: 1WGPT-5: 4W

Claude 3.7 Sonnet (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs78 tok/s

Time to first token

240 msvs290 ms

Claude 3.7 Sonnet: 2WGPT-5: 0W

GPT-5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$10/1M

Input price

$3/1Mvs$1.25/1M

Context window

200kvs400k

Claude 3.7 Sonnet: 0WGPT-5: 3W

Recommended Workload Routing

Repo / coding agentsClaude 3.7 Sonnet

Higher SWE-bench (70.3%).

High-volume chatGPT-5

Lower output list price ($10/1M).

Voice / low-latency UIClaude 3.7 Sonnet

Lower TTFT (240 ms).

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

Both accept images. Defaulting to the higher-Elo side (GPT-5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude 3.7 Sonnet	Higher SWE-bench (70.3%).
High-volume chat	GPT-5	Lower output list price ($10/1M).
Voice / low-latency UI	Claude 3.7 Sonnet	Lower TTFT (240 ms).
Long-document RAG	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	Both accept images. Defaulting to the higher-Elo side (GPT-5).

Frequently Asked Questions

Which is better overall, Claude 3.7 Sonnet or GPT-5?

GPT-5 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude 3.7 Sonnet or GPT-5?

Claude 3.7 Sonnet leads SWE-bench at 70.3% vs 68.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GPT-5 output tokens are $10/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.7 Sonnet or GPT-5?

Claude 3.7 Sonnet has the lower time-to-first-token (240 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-5 accepts 400k tokens versus 200k.

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. Claude 3.7 Sonnet and GPT-5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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

GPT-5

Claude 3.7 Sonnet

GPT-5

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

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Claude 3.7 Sonnet

GPT-5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

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

GPT-5

Claude 3.7 Sonnet

GPT-5

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

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude 3.7 Sonnet

GPT-5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons