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

Every score has a dated snapshot.

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  3. Claude Opus 4.8 vs OpenAI o3-mini

Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.8 vs OpenAI o3-mini benchmark

In this head-to-head showdown, Claude Opus 4.8 delivers higher overall intelligence and human-preferred responses (Elo 1,598 vs 1,560), while OpenAI o3-mini leads in SWE-bench software engineering benchmarks (78.5%), while OpenAI o3-mini is more budget-friendly at $4.4/1M 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 OpenAI o3-mini if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

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

Claude Opus 4.8 (4)OpenAI o3-mini (6)
Claude Opus 4.8
4 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓Context window
OpenAI o3-mini
6 of 10 Wins
✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price
Anthropic
Leads 4 of 10 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 6 of 10 metrics
OpenAI o3-mini

OpenAI cost-efficient reasoning model with adjustable thinking effort and top coding benchmark scores.

o3-miniElo 1,560$4.4/1M out

Claude 4 Series Lineage & Sibling Variants

5 models

Currently comparing Claude Opus 4.8 vs OpenAI o3-mini. 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

OpenAI o3-mini Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

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
290 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$8.47
4.5× standard bill
Accuracy Boost
+4.5% 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 38 Arena Elo pts

Throughput LeaderOpenAI o3-mini Wins

OpenAI o3-mini

92 tok/s

Value per Dollar LeaderOpenAI o3-mini Wins

OpenAI o3-mini

$4.4 / 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 (4)vsOpenAI o3-mini (6)
Claude Opus 4.8: 4W (40%)Overall: OpenAI o3-miniOpenAI o3-mini: 6W (60%)
← Claude Opus 4.8OpenAI o3-mini →
🏆Claude Opus 4.8(3/5)

Intelligence & Reasoning

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

Benchmark
Claude Opus 4.8vsOpenAI o3-mini
Preference Elo
1,598vs1,560+38
Coding Elo
1,604vs1,585+19
SWE-bench
78.4%vs78.5%+0.1%
LiveBench
73.6%vs72.4%+1.2%
GPQA Diamond
86.2%vs87.2%+1%
Claude Opus 4.8: 3WOpenAI o3-mini: 2W
🏆OpenAI o3-mini(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude Opus 4.8vsOpenAI o3-mini
Output speed
66 tok/svs92 tok/s+26 tok/s
Time to first token
330 msvs290 ms+40 ms
Claude Opus 4.8: 0WOpenAI o3-mini: 2W
🏆OpenAI o3-mini(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude Opus 4.8vsOpenAI o3-mini
Output price
$25/1Mvs$4.4/1M+$20.6/1M
Input price
$5/1Mvs$1.1/1M+$3.9/1M
Context window
1Mvs200k+800k
Claude Opus 4.8: 1WOpenAI o3-mini: 2W

Side-by-Side Benchmark Matrix

Preference Elo+38
Claude Opus 4.81,598
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini1,560
seed-bootstrap · Aug 1, 2026
Coding Elo+19
Claude Opus 4.81,604
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini1,585
seed-bootstrap · Aug 1, 2026
LiveBench+1.2%
Claude Opus 4.873.6%
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini72.4%
seed-bootstrap · Aug 1, 2026
SWE-bench+0.1%
Claude Opus 4.878.4%
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini78.5%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+1%
Claude Opus 4.886.2%
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini87.2%
seed-bootstrap · Aug 1, 2026
Time to first token+40 ms
Claude Opus 4.8330 ms
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini290 ms
seed-bootstrap · Aug 1, 2026
Output speed+26 tok/s
Claude Opus 4.866 tok/s
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini92 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$3.9/1M
Claude Opus 4.8$5/1M
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Output price+$20.6/1M
Claude Opus 4.8$25/1M
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Context window+800k
Claude Opus 4.81M
seed-bootstrap · Aug 16, 2026
OpenAI o3-mini200k
seed-bootstrap · Aug 1, 2026
BenchmarkClaude Opus 4.8OpenAI o3-miniAdvantage Delta
Preference Elo
1,598
seed-bootstrap · Aug 16, 2026
1,560
seed-bootstrap · Aug 1, 2026
+38
Coding Elo
1,604
seed-bootstrap · Aug 16, 2026
1,585
seed-bootstrap · Aug 1, 2026
+19
LiveBench
73.6%
seed-bootstrap · Aug 16, 2026
72.4%
seed-bootstrap · Aug 1, 2026
+1.2%
SWE-bench
78.4%
seed-bootstrap · Aug 16, 2026
78.5%
seed-bootstrap · Aug 1, 2026
+0.1%
GPQA Diamond
86.2%
seed-bootstrap · Aug 16, 2026
87.2%
seed-bootstrap · Aug 1, 2026
+1%
Time to first token
330 ms
seed-bootstrap · Aug 16, 2026
290 ms
seed-bootstrap · Aug 1, 2026
+40 ms
Output speed
66 tok/s
seed-bootstrap · Aug 16, 2026
92 tok/s
seed-bootstrap · Aug 1, 2026
+26 tok/s
Input price
$5/1M
seed-bootstrap · Aug 16, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
+$3.9/1M
Output price
$25/1M
seed-bootstrap · Aug 16, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
+$20.6/1M
Context window
1M
seed-bootstrap · Aug 16, 2026
200k
seed-bootstrap · Aug 1, 2026
+800k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 81% with OpenAI o3-mini
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
OpenAI o3-mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

OpenAI o3-mini is estimated to save $445.50/month ($5,346/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI o3-mini:Pick OpenAI o3-mini when repo-level coding accuracy is the constraint.
  • 2
    OpenAI o3-mini:Pick OpenAI o3-mini when time-to-first-token matters more than peak Elo.
  • 3
    Claude Opus 4.8:Pick Claude Opus 4.8 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsOpenAI o3-mini

Higher SWE-bench (78.5%).

High-volume chatOpenAI o3-mini

Lower output list price ($4.4/1M).

Voice / low-latency UIOpenAI o3-mini

Lower TTFT (290 ms).

Long-document RAGClaude Opus 4.8

Larger window (1M).

Screenshots / visionClaude Opus 4.8

Claude Opus 4.8 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsOpenAI o3-miniHigher SWE-bench (78.5%).
High-volume chatOpenAI o3-miniLower output list price ($4.4/1M).
Voice / low-latency UIOpenAI o3-miniLower TTFT (290 ms).
Long-document RAGClaude Opus 4.8Larger window (1M).
Screenshots / visionClaude Opus 4.8Claude Opus 4.8 is the side marked multimodal in the catalog.

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.

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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

OpenAI o3-mini

Elo 1,560
SWE-bench78.5%
Speed (tok/s)92 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.8 or OpenAI o3-mini?
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 OpenAI o3-mini?
OpenAI o3-mini leads SWE-bench at 78.5% vs 78.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
OpenAI o3-mini output tokens are $4.4/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.8 or OpenAI o3-mini?
OpenAI o3-mini has the lower time-to-first-token (290 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 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 Opus 4.8 and OpenAI o3-mini 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

Similar Head-to-Head Comparisons

All Claude Opus 4.8 matchups →|All OpenAI o3-mini matchups →
Claude Opus 4.8 vs Claude Opus 4.6 (previous opus)Claude Opus 4.8 vs Claude Opus 5 (next opus)OpenAI o3-mini vs OpenAI o1-mini (previous gpt-mini)OpenAI o3-mini vs GPT-5 mini (next gpt-mini)GPT-5.6 Sol vs Claude Opus 4.8Claude Fable 5 vs Claude Opus 4.8