CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. Claude Opus 4.8 vs GPT-4o

Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.8 vs GPT-4o benchmark

In this head-to-head showdown, Claude Opus 4.8 delivers higher overall intelligence and human-preferred responses (Elo 1,598 vs 1,335), while Claude Opus 4.8 leads in SWE-bench software engineering benchmarks (78.4%), while GPT-4o is more budget-friendly at $10/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Claude Opus 4.8 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose GPT-4o if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
WhatsAppTelegramXLinkedInReddit

Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Claude Opus 4.8 (5)GPT-4o (4)
Claude Opus 4.8
5 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Context window
GPT-4o
4 of 9 Wins
✓Time to first token✓Output speed✓Input price✓Output price
Anthropic
Leads 5 of 9 metrics
Claude Opus 4.8

Prior Opus generation still billed at $5/$25. Kept as a compare baseline against Opus 5.

Opus 4.8Elo 1,598$25/1M out
OpenAI
Leads 4 of 9 metrics
GPT-4o

Previous OpenAI flagship. Still a common compare baseline on legacy pages.

Elo 1,335$10/1M out

Claude 4 Series Lineage & Sibling Variants

5 models

Currently comparing Claude Opus 4.8 vs GPT-4o. Alternative family tiers available.

Active: Claude Opus 4.8
Claude Opus 4.5$75Claude Opus 4.6$75Claude Sonnet 4.5$15Claude Haiku 4.5$5

Claude Opus 4.8 Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (16k budget)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
330 ms
Standard speed
Reasoning Depth
~3,200
Internal tokens
Cost / 1k Calls
$90.00
9.0× standard bill
Accuracy Boost
+5.2% accuracy
STEM & SWE-bench
Top Rival Showdowns for Claude Opus 4.8
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderClaude Opus 4.8 Wins

Claude Opus 4.8

Δ 263 Arena Elo pts

Throughput LeaderGPT-4o Wins

GPT-4o

110 tok/s

Value per Dollar LeaderGPT-4o Wins

GPT-4o

$10 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Claude Opus 4.8 (6)vsGPT-4o (4)
Claude Opus 4.8: 6W (60%)Overall: Claude Opus 4.8GPT-4o: 4W (40%)
← Claude Opus 4.8GPT-4o →
🏆Claude Opus 4.8(5/5)

Intelligence & Reasoning

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

Benchmark
Claude Opus 4.8vsGPT-4o
Preference Elo
1,598vs1,335+263
Coding Elo
1,604vs—
SWE-bench
78.4%vs54.8%+23.6%
LiveBench
73.6%vs54.2%+19.4%
GPQA Diamond
86.2%vs73.2%+13%
Claude Opus 4.8: 5WGPT-4o: 0W
🏆GPT-4o(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude Opus 4.8vsGPT-4o
Output speed
66 tok/svs110 tok/s+44 tok/s
Time to first token
330 msvs180 ms+150 ms
Claude Opus 4.8: 0WGPT-4o: 2W
🏆GPT-4o(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude Opus 4.8vsGPT-4o
Output price
$25/1Mvs$10/1M+$15/1M
Input price
$5/1Mvs$2.5/1M+$2.5/1M
Context window
1Mvs128k+872k
Claude Opus 4.8: 1WGPT-4o: 2W

Side-by-Side Benchmark Matrix

Preference Elo+263
Claude Opus 4.81,598
seed-bootstrap · Aug 16, 2026
GPT-4o1,335
seed-bootstrap · Aug 1, 2026
Coding Elo
Claude Opus 4.81,604
seed-bootstrap · Aug 16, 2026
GPT-4o—
LiveBench+19.4%
Claude Opus 4.873.6%
seed-bootstrap · Aug 16, 2026
GPT-4o54.2%
seed-bootstrap · Aug 1, 2026
SWE-bench+23.6%
Claude Opus 4.878.4%
seed-bootstrap · Aug 16, 2026
GPT-4o54.8%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+13%
Claude Opus 4.886.2%
seed-bootstrap · Aug 16, 2026
GPT-4o73.2%
seed-bootstrap · Aug 1, 2026
Time to first token+150 ms
Claude Opus 4.8330 ms
seed-bootstrap · Aug 16, 2026
GPT-4o180 ms
seed-bootstrap · Aug 1, 2026
Output speed+44 tok/s
Claude Opus 4.866 tok/s
seed-bootstrap · Aug 16, 2026
GPT-4o110 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$2.5/1M
Claude Opus 4.8$5/1M
seed-bootstrap · Aug 16, 2026
GPT-4o$2.5/1M
seed-bootstrap · Aug 1, 2026
Output price+$15/1M
Claude Opus 4.8$25/1M
seed-bootstrap · Aug 16, 2026
GPT-4o$10/1M
seed-bootstrap · Aug 1, 2026
Context window+872k
Claude Opus 4.81M
seed-bootstrap · Aug 16, 2026
GPT-4o128k
seed-bootstrap · Aug 1, 2026
BenchmarkClaude Opus 4.8GPT-4oAdvantage Delta
Preference Elo
1,598
seed-bootstrap · Aug 16, 2026
1,335
seed-bootstrap · Aug 1, 2026
+263
Coding Elo
1,604
seed-bootstrap · Aug 16, 2026
——
LiveBench
73.6%
seed-bootstrap · Aug 16, 2026
54.2%
seed-bootstrap · Aug 1, 2026
+19.4%
SWE-bench
78.4%
seed-bootstrap · Aug 16, 2026
54.8%
seed-bootstrap · Aug 1, 2026
+23.6%
GPQA Diamond
86.2%
seed-bootstrap · Aug 16, 2026
73.2%
seed-bootstrap · Aug 1, 2026
+13%
Time to first token
330 ms
seed-bootstrap · Aug 16, 2026
180 ms
seed-bootstrap · Aug 1, 2026
+150 ms
Output speed
66 tok/s
seed-bootstrap · Aug 16, 2026
110 tok/s
seed-bootstrap · Aug 1, 2026
+44 tok/s
Input price
$5/1M
seed-bootstrap · Aug 16, 2026
$2.5/1M
seed-bootstrap · Aug 1, 2026
+$2.5/1M
Output price
$25/1M
seed-bootstrap · Aug 16, 2026
$10/1M
seed-bootstrap · Aug 1, 2026
+$15/1M
Context window
1M
seed-bootstrap · Aug 16, 2026
128k
seed-bootstrap · Aug 1, 2026
+872k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 57% with GPT-4o
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Claude Opus 4.8$550.00 / mo
In: $175Out: $375
GPT-4o$237.50 / mo
In: $87.5Out: $150
Estimated Cost Delta

GPT-4o is estimated to save $312.50/month ($3,750/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Claude Opus 4.8:Pick Claude Opus 4.8 when repo-level coding accuracy is the constraint.
  • 2
    GPT-4o:Pick GPT-4o when you are optimizing output cost.
  • 3
    GPT-4o:Pick GPT-4o when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.8

Higher SWE-bench (78.4%).

High-volume chatGPT-4o

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

Voice / low-latency UIGPT-4o

Lower TTFT (180 ms).

Long-document RAGClaude Opus 4.8

Larger window (1M).

Screenshots / visionClaude Opus 4.8

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.8).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsClaude Opus 4.8Higher SWE-bench (78.4%).
High-volume chatGPT-4oLower output list price ($10/1M).
Voice / low-latency UIGPT-4oLower TTFT (180 ms).
Long-document RAGClaude Opus 4.8Larger window (1M).
Screenshots / visionClaude Opus 4.8Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.8).

Related Editorial Dispatches & Benchmark Notes

View all news
launchJun 20, 2026

Keep Opus 4.8 on the board: a baseline, not a flagship

Opus 4.8 still bills $5/$25. We keep it so Opus 5 vs 4.8 is a real generation delta, not marketing.

newsMay 13, 2024

GPT-4o stays as the 2024 compare anchor people still search

Deprecated for buying. Kept because “4o vs sonnet” is still a typed query.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/claude-opus-4-8-vs-gpt-4o/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude Opus 4.8

Elo 1,598
SWE-bench78.4%
Speed (tok/s)66 tok/s
Input / 1M Tokens$5/1M
Output / 1M Tokens$25/1M
OpenAI

GPT-4o

Elo 1,335
SWE-bench54.8%
Speed (tok/s)110 tok/s
Input / 1M Tokens$2.5/1M
Output / 1M Tokens$10/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.8 or GPT-4o?
Claude Opus 4.8 has the higher preference Elo in our latest snapshot (1,598). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.8 or GPT-4o?
Claude Opus 4.8 leads SWE-bench at 78.4% vs 54.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
GPT-4o output tokens are $10/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.8 or GPT-4o?
GPT-4o has the lower time-to-first-token (180 ms vs 330 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Claude Opus 4.8 accepts 1M tokens versus 128k.
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 Opus 4.8 and GPT-4o Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jun 20, 2026

    Keep Opus 4.8 on the board: a baseline, not a flagship

  • news · May 13, 2024

    GPT-4o stays as the 2024 compare anchor people still search

Similar Head-to-Head Comparisons

All Claude Opus 4.8 matchups →|All GPT-4o matchups →
Claude Opus 4.8 vs Claude Opus 4.6 (previous opus)Claude Opus 4.8 vs Claude Opus 5 (next opus)GPT-4o vs GPT-4 Turbo (previous gpt-flagship)GPT-4o vs OpenAI o1 (next gpt-flagship)GPT-5.6 Sol vs Claude Opus 4.8Claude Fable 5 vs Claude Opus 4.8