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Model comparison

Claude Sonnet 4.5 vs o3-mini

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

52.89/100
Margin
6.3pts
← winning
OpenAI
46.59/100
2 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.5 #98 (Estimated); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.5 and o3-mini share 2 comparable benchmark results. 2 of 8 categories are comparable. 10 results are unique to Claude Sonnet 4.5; 8 to o3-mini.

Updated July 24, 2026
Shared results
2
Claude Sonnet 4.5 only
10
o3-mini only
8
Comparable categories
2 / 8

Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. o3-mini only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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 Sonnet 4.5 is clearly ahead on the BenchAlign aggregate, 52.89 to 46.59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Sonnet 4.5's sharpest advantage is in coding, where it averages 77.2 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 77.2% to 49.3%.

Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 3.4x on output cost alone. o3-mini is the reasoning model in the pair, while Claude Sonnet 4.5 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.

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 Sonnet 4.5 and o3-mini
CategoryClaude Sonnet 4.5Δo3-mini
CodingClaude Sonnet 4.577.2Margin 27.9o3-mini49.3
KnowledgeClaude Sonnet 4.583.4Margin 6.2o3-mini77.2
AgenticClaude Sonnet 4.555.4MarginNo overlapo3-miniNot measured
ReasoningClaude Sonnet 4.513.6MarginNo overlapo3-miniNot measured
MathClaude Sonnet 4.511.2MarginNo overlapo3-miniNot measured
Inst. FollowingClaude Sonnet 4.5Not measuredMarginNo overlapo3-mini93.9

Decisive benchmark drivers

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

More
A · Claude Sonnet 4.5B · o3-mini
  1. SWE-bench Verified

    Coding
    Source ↗
    A 77.2%B 49.3%
    Winner: Claude Sonnet 4.5Δ 27.9
    SWE-bench Verified: Claude Sonnet 4.5 scored 77.2%; o3-mini scored 49.3%. Claude Sonnet 4.5 wins this benchmark.
  2. GPQA

    Knowledge
    Source ↗
    A 83.4%B 77.2%
    Winner: Claude Sonnet 4.5Δ 6.2
    GPQA: Claude Sonnet 4.5 scored 83.4%; o3-mini scored 77.2%. Claude Sonnet 4.5 wins this benchmark.

Operational comparison

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

MetricClaude Sonnet 4.5o3-miniComparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.5$3 input / $15 outputo3-mini$1.1 input / $4.4 outputo3-mini has the lower combined listed price.
Generation speedtokens per secondClaude Sonnet 4.5Not availableo3-mini160 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.5Not availableo3-mini7.12 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.5200Ko3-mini200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.5o3-miniResult
Terminal-Bench 2.0Source 50%Not comparable
OSWorld-VerifiedSource 61.4%Not comparable
VITA-BenchSource 17.0%Not comparable
Gert LabsSource 48.51%Not comparable
JobBenchSource 27.7%Not comparable
τ²-bench resultsSource 28.7%Not comparable
CodingClaude Sonnet 4.5 wins
BenchmarkClaude Sonnet 4.5o3-miniResult
SWE-bench VerifiedSource 77.2%49.3%Claude Sonnet 4.5 leads
AA-SciCodeSource 39.9%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.5o3-miniResult
ARC-AGI-2Source 13.6%Not comparable
KnowledgeClaude Sonnet 4.5 wins
BenchmarkClaude Sonnet 4.5o3-miniResult
GPQASource 83.4%77.2%Claude Sonnet 4.5 leads
MMLUSource 86.9%Not comparable
Artificial Analysis Intelligence IndexSource 19.0%Not comparable
AA-GPQA DiamondSource 74.8%Not comparable
AA-HLESource 8.7%Not comparable
Math
BenchmarkClaude Sonnet 4.5o3-miniResult
AIME 2025Source 87%Not comparable
FrontierMath v2 (Tiers 1-3)Source 13.495%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
AIME 2024Source 87.3%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.5o3-miniResult
Design Arena WebsiteSource 1219Not comparable
Inst. Following
BenchmarkClaude Sonnet 4.5o3-miniResult
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Which is better, Claude Sonnet 4.5 or o3-mini?

Claude Sonnet 4.5 is ahead on BenchLM's BenchAlign leaderboard, 52.89 to 46.59. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 77.2% and 49.3%.

Which is better for knowledge tasks, Claude Sonnet 4.5 or o3-mini?

Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 77.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Sonnet 4.5 or o3-mini?

Claude Sonnet 4.5 has the edge for coding in this comparison, averaging 77.2 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