Skip to main content

Model comparison

Claude Opus 4.8 vs Claude Sonnet 4.6

Data verified

Head-to-head evidence from 25 shared benchmark results across 7 categories. Overall scores shown here use BenchLM's provisional ranking lane.

85/100
Margin
8.0pts
← winning
77/100
3 category wins2 category wins

Verified leaderboard positions: Claude Opus 4.8 #3; Claude Sonnet 4.6 #14

Evidence parity. Claude Opus 4.8 and Claude Sonnet 4.6 share 25 comparable benchmark results. 5 of 8 categories are comparable. 28 results are unique to Claude Opus 4.8; 9 to Claude Sonnet 4.6.

Updated July 12, 2026
Shared results
25
Claude Opus 4.8 only
28
Claude Sonnet 4.6 only
9
Comparable categories
5 / 8

Pick Claude Opus 4.8 if you want the stronger benchmark profile. Claude Sonnet 4.6 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 25 shared benchmark results across 7 evidence categories; 5 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 4.8 is clearly ahead on the provisional aggregate, 85 to 77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.8's sharpest advantage is in mathematics, where it averages 53.9 against 26.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 31.250% to 8.300%. Claude Sonnet 4.6 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $3.00 input / $15.00 output per 1M tokens for Claude Sonnet 4.6. Claude Opus 4.8 is the reasoning model in the pair, while Claude Sonnet 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 4.8 gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.

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 4.8 and Claude Sonnet 4.6
CategoryClaude Opus 4.8ΔClaude Sonnet 4.6
MathClaude Opus 4.853.9Margin 27.5Claude Sonnet 4.626.4
AgenticClaude Opus 4.880.3Margin 15.1Claude Sonnet 4.665.2
CodingClaude Opus 4.876.4Margin 7.3Claude Sonnet 4.669.1
KnowledgeClaude Opus 4.862.7Margin 3.5Claude Sonnet 4.666.2
MultimodalClaude Opus 4.877.0Margin 0.4Claude Sonnet 4.677.4

Decisive benchmark drivers

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

More
A · Claude Opus 4.8B · Claude Sonnet 4.6
  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 31.250%B 8.300%
    Winner: Claude Opus 4.8Δ 23
    FrontierMath v2 (Tier 4): Claude Opus 4.8 scored 31.250%; Claude Sonnet 4.6 scored 8.300%. Claude Opus 4.8 wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 74.6%B 59.1%
    Winner: Claude Opus 4.8Δ 15.5
    Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Claude Sonnet 4.6 scored 59.1%. Claude Opus 4.8 wins this benchmark.
  3. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 47.241%B 32.400%
    Winner: Claude Opus 4.8Δ 14.8
    FrontierMath v2 (Tiers 1-3): Claude Opus 4.8 scored 47.241%; Claude Sonnet 4.6 scored 32.400%. Claude Opus 4.8 wins this benchmark.
  4. CharXiv

    Multimodal
    Source ↗
    A 89.9%B 77.4%
    Winner: Claude Opus 4.8Δ 12.5
    CharXiv: Claude Opus 4.8 scored 89.9%; Claude Sonnet 4.6 scored 77.4%. Claude Opus 4.8 wins this benchmark.
  5. OSWorld-Verified

    Agentic
    Source ↗
    A 83.4%B 72.1%
    Winner: Claude Opus 4.8Δ 11.3
    OSWorld-Verified: Claude Opus 4.8 scored 83.4%; Claude Sonnet 4.6 scored 72.1%. Claude Opus 4.8 wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.8Claude Sonnet 4.6Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.8$5 input / $25 outputClaude Sonnet 4.6$3 input / $15 outputClaude Sonnet 4.6 has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.8Not availableClaude Sonnet 4.644 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.8Not availableClaude Sonnet 4.61.48 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.81MClaude Sonnet 4.6200KClaude Opus 4.8 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
Terminal-Bench 2.0Source 74.6%59.1%Claude Opus 4.8 leads
BrowseCompSource 84.3%Not comparable
DeepSearchQASource 93.1%Not comparable
OSWorld-VerifiedSource 83.4%72.1%Claude Opus 4.8 leads
Finance Agent v2Source 53.9%Not comparable
GDPval-AASource 1600Not comparable
MCP AtlasSource 82.2%Not comparable
ToolathlonSource 59.9%Not comparable
Gert LabsSource 72.97%62.92%Claude Opus 4.8 leads
AA Agentic IndexSource 47.2%Not comparable
Tau2-TelecomSource 94.4%79.5%Claude Opus 4.8 leads
GDPval-AASource 55.0%Not comparable
ResearchClawBenchSource 21.1%Not comparable
OSWorld 2.0Source 20.6%8.3%Claude Opus 4.8 leads
AA BriefcaseSource 1354Not comparable
AA AutomationBenchSource 48.5%Not comparable
AA EnterpriseOps-GymSource 44.0%Not comparable
AA Harvey LABSource 7.5%Not comparable
AA Tau3 BankingSource 27.6%Not comparable
Claw-EvalSource 67.8%Not comparable
CyberGymSource 65.2%Not comparable
JobBenchSource 36.9%Not comparable
CodingClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
SWE-bench VerifiedSource 88.6%79.6%Claude Opus 4.8 leads
SWE-bench ProSource 69.2%Not comparable
SWE MultilingualSource 84.4%Not comparable
SWE MultimodalSource 38.4%Not comparable
Terminal-Bench 2.0Source 74.6%Not comparable
cursorBench31Source 58.4%48.8%Claude Opus 4.8 leads
cursorBench32Source 62.3%Not comparable
AA Coding IndexSource 74.3%Not comparable
Terminal-Bench HardSource 58.3%46.2%Claude Opus 4.8 leads
AA-SciCodeSource 53.5%46.9%Claude Opus 4.8 leads
FrontierCodeSource 46.5%24.3%Claude Opus 4.8 leads
AA Terminal-Bench 2.1Source 84.6%Not comparable
SWE-RebenchSource 60.7%Not comparable
React Native EvalsSource 80.6%Not comparable
Vibe Code BenchSource 51.48%Not comparable
Reasoning
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
AA-LCRSource 67.7%57.7%Claude Opus 4.8 leads
CritPtSource 20.9%0.9%Claude Opus 4.8 leads
KnowledgeClaude Sonnet 4.6 wins
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
GPQASource 93.6%89.9%Claude Opus 4.8 leads
GPQA-DSource 93.6%Not comparable
HLESource 57.9%49%Claude Opus 4.8 leads
HLE w/o toolsSource 49.8%Not comparable
Artificial Analysis Intelligence IndexSource 55.7%35.9%Claude Opus 4.8 leads
AA-GPQA DiamondSource 92.0%79.9%Claude Opus 4.8 leads
AA-HLESource 45.7%13.2%Claude Opus 4.8 leads
AA-Omniscience IndexSource 27.4%-2.9%Claude Opus 4.8 leads
AA-Omniscience AccuracySource 46.6%38.0%Claude Opus 4.8 leads
AA-Omniscience Hallucination RateSource 35.9%65.9%Claude Opus 4.8 leads
SuperGPQASource 95%Not comparable
MMLU-ProSource 79.2%Not comparable
MathClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
USAMO 2026Source 96.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 47.241%32.400%Claude Opus 4.8 leads
FrontierMath v2 (Tier 4)Source 31.250%8.300%Claude Opus 4.8 leads
Multilingual
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
INCLUDESource 87.6%Not comparable
MultimodalClaude Sonnet 4.6 wins
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
OfficeQA ProSource 66.2%Not comparable
ScreenSpot ProSource 87.9%Not comparable
CharXivSource 89.9%77.4%Claude Opus 4.8 leads
CharXiv w/o toolsSource 80.5%Not comparable
Design Arena WebsiteSource 12811328Claude Sonnet 4.6 leads
AA-MMMU-ProSource 70.6%Not comparable
Inst. Following
BenchmarkClaude Opus 4.8Claude Sonnet 4.6Result
AA-IFBenchSource 62.2%41.2%Claude Opus 4.8 leads
Frequently Asked Questions (6)

Which is better, Claude Opus 4.8 or Claude Sonnet 4.6?

Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 77. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 31.250% and 8.300%.

Which is better for knowledge tasks, Claude Opus 4.8 or Claude Sonnet 4.6?

Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 66.2 versus 62.7. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.8 or Claude Sonnet 4.6?

Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 69.1. Inside this category, FrontierCode is the benchmark that creates the most daylight between them.

Which is better for math, Claude Opus 4.8 or Claude Sonnet 4.6?

Claude Opus 4.8 has the edge for math in this comparison, averaging 53.9 versus 26.4. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.8 or Claude Sonnet 4.6?

Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 versus 65.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Opus 4.8 or Claude Sonnet 4.6?

Claude Sonnet 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 77.4 versus 77. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 12, 2026

The AI models change fast. We track them for you.

A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.