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Model comparison

Claude Opus 4.6 vs o3-mini

Data verified

Head-to-head evidence from 7 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

67.84/100
Margin
21.3pts
← winning
OpenAI
46.59/100
1 category wins1 category wins

Public leaderboard positions: Claude Opus 4.6 #19 (Supported); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 and o3-mini share 7 comparable benchmark results. 2 of 8 categories are comparable. 39 results are unique to Claude Opus 4.6; 3 to o3-mini.

Updated July 24, 2026
Shared results
7
Claude Opus 4.6 only
39
o3-mini only
3
Comparable categories
2 / 8

Pick Claude Opus 4.6 if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 3 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Opus 4.6 is clearly ahead on the BenchAlign aggregate, 67.84 to 46.59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.6's sharpest advantage is in coding, where it averages 68.1 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 80.8% to 49.3%. o3-mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 5.7x on output cost alone. o3-mini is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Opus 4.6 gives you the larger context window at 1M, compared with 200K for o3-mini.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Claude Opus 4.6 and o3-mini
CategoryClaude Opus 4.6Δo3-mini
CodingClaude Opus 4.668.1Margin 18.8o3-mini49.3
KnowledgeClaude Opus 4.669.1Margin 8.1o3-mini77.2
AgenticClaude Opus 4.673.0MarginNo overlapo3-miniNot measured
MathClaude Opus 4.636.3MarginNo overlapo3-miniNot measured
MultimodalClaude Opus 4.677.3MarginNo overlapo3-miniNot measured
Inst. FollowingClaude Opus 4.6Not measuredMarginNo overlapo3-mini93.9

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Opus 4.6B · o3-mini
  1. SWE-bench Verified

    Coding
    Source ↗
    A 80.8%B 49.3%
    Winner: Claude Opus 4.6Δ 31.5
    SWE-bench Verified: Claude Opus 4.6 scored 80.8%; o3-mini scored 49.3%. Claude Opus 4.6 wins this benchmark.
  2. GPQA

    Knowledge
    Source ↗
    A 91.3%B 77.2%
    Winner: Claude Opus 4.6Δ 14.1
    GPQA: Claude Opus 4.6 scored 91.3%; o3-mini scored 77.2%. Claude Opus 4.6 wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Opus 4.6o3-miniComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6$5 input / $25 outputo3-mini$1.1 input / $4.4 outputo3-mini has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.640 tok/so3-mini160 tok/so3-mini has the higher measured throughput.
First-answer latencyseconds to first tokenClaude Opus 4.61.78 so3-mini7.12 sClaude Opus 4.6 reaches the first token sooner.
Context windowmaximum listed tokensClaude Opus 4.61Mo3-mini200KClaude Opus 4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6o3-miniResult
Terminal-Bench 2.0Source 65.4%Not comparable
BrowseCompSource 83.7%Not comparable
OSWorld-VerifiedSource 72.7%Not comparable
τ²-bench resultsSource 84.8%28.7%Claude Opus 4.6 leads
Claw-EvalSource 70.4%Not comparable
DeepSearchQASource 73.7%Not comparable
CyberGymSource 66.6%Not comparable
Gert LabsSource 61.85%Not comparable
ResearchClawBenchSource 19.9%Not comparable
JobBenchSource 36.7%Not comparable
CodingClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6o3-miniResult
SWE-bench VerifiedSource 80.8%49.3%Claude Opus 4.6 leads
SWE-bench Verified*Source 75.6%Not comparable
LiveCodeBench ProSource 70.7%Not comparable
SWE-bench ProSource 53.4%Not comparable
SWE-RebenchSource 65.3%Not comparable
React Native EvalsSource 84.1%Not comparable
Vibe Code BenchSource 57.57%Not comparable
AA-SciCodeSource 45.7%39.9%Claude Opus 4.6 leads
FrontierCode 1.1 MainSource 26.9%Not comparable
Reasoning
BenchmarkClaude Opus 4.6o3-miniResult
AA-LCRSource 58.3%Not comparable
CritPtSource 2.8%Not comparable
Knowledgeo3-mini wins
BenchmarkClaude Opus 4.6o3-miniResult
GPQASource 91.3%77.2%Claude Opus 4.6 leads
GPQA-DSource 89.2%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 82%Not comparable
MMLU-Pro (Arcee)Source 89.1%Not comparable
HLESource 53%Not comparable
HLE w/o toolsSource 40%Not comparable
HealthBench HardSource 14.8%Not comparable
MedXpertQA (Text)Source 52.1%Not comparable
Artificial Analysis Intelligence IndexSource 37.8%19.0%Claude Opus 4.6 leads
AA-GPQA DiamondSource 84.0%74.8%Claude Opus 4.6 leads
AA-HLESource 18.6%8.7%Claude Opus 4.6 leads
AA-Omniscience IndexSource 3.5%Not comparable
AA-Omniscience AccuracySource 45.2%Not comparable
AA-Omniscience Hallucination RateSource 76.0%Not comparable
MMLUSource 86.9%Not comparable
Math
BenchmarkClaude Opus 4.6o3-miniResult
AIME25 (Arcee)Source 99.8%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 22.900%Not comparable
AIME 2024Source 87.3%Not comparable
Multimodal
BenchmarkClaude Opus 4.6o3-miniResult
MMMU-ProSource 77.3%Not comparable
ERQASource 51.6%Not comparable
ScreenSpot ProSource 83.1%Not comparable
MedXpertQA (MM)Source 64.8%Not comparable
AA-MMMU-ProSource 72.5%Not comparable
Design Arena WebsiteSource 1325Not comparable
Inst. Following
BenchmarkClaude Opus 4.6o3-miniResult
AA-IFBenchSource 44.6%Not comparable
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Which is better, Claude Opus 4.6 or o3-mini?

Claude Opus 4.6 is ahead on BenchLM's BenchAlign leaderboard, 67.84 to 46.59. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80.8% and 49.3%.

Which is better for knowledge tasks, Claude Opus 4.6 or o3-mini?

o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 69.1. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.6 or o3-mini?

Claude Opus 4.6 has the edge for coding in this comparison, averaging 68.1 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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Last updated: July 24, 2026