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Model comparison

Claude Opus 4.8 vs Grok 4.3

Data verified

Head-to-head evidence from 24 shared benchmark results across 6 categories. Overall scores shown here use BenchLM's provisional ranking lane.

85/100
Margin
22.0pts
← winning
63/100
2 category wins1 category wins

Verified leaderboard positions: Claude Opus 4.8 #3; Grok 4.3 unranked

Evidence parity. Claude Opus 4.8 and Grok 4.3 share 24 comparable benchmark results. 3 of 8 categories are comparable. 29 results are unique to Claude Opus 4.8; 6 to Grok 4.3.

Updated July 12, 2026
Shared results
24
Claude Opus 4.8 only
29
Grok 4.3 only
6
Comparable categories
3 / 8

Pick Claude Opus 4.8 if you want the stronger benchmark profile. Grok 4.3 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 24 shared benchmark results across 6 evidence categories; 3 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 63. 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 coding, where it averages 76.4 against 47.3. The single biggest benchmark swing on the page is HLE, 57.9% to 35%. Grok 4.3 does hit back in multimodal & grounded, 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 $1.25 input / $2.50 output per 1M tokens for Grok 4.3. That is roughly 10.0x on output cost alone.

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 Grok 4.3
CategoryClaude Opus 4.8ΔGrok 4.3
CodingClaude Opus 4.876.4Margin 29.1Grok 4.347.3
KnowledgeClaude Opus 4.862.7Margin 20.3Grok 4.342.4
MultimodalClaude Opus 4.877.0Margin 1.1Grok 4.378.1
AgenticClaude Opus 4.880.3MarginNo overlapGrok 4.3Not measured
MathClaude Opus 4.853.9MarginNo overlapGrok 4.3Not measured
Inst. FollowingClaude Opus 4.8Not measuredMarginNo overlapGrok 4.381.3

Decisive benchmark drivers

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

More
A · Claude Opus 4.8B · Grok 4.3
  1. HLE

    Knowledge
    Source ↗
    A 57.9%B 35%
    Winner: Claude Opus 4.8Δ 22.9
    HLE: Claude Opus 4.8 scored 57.9%; Grok 4.3 scored 35%. Claude Opus 4.8 wins this benchmark.
  2. GPQA

    Knowledge
    Source ↗
    A 93.6%B 90.1%
    Winner: Claude Opus 4.8Δ 3.5
    GPQA: Claude Opus 4.8 scored 93.6%; Grok 4.3 scored 90.1%. 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 4.8Grok 4.3Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.8$5 input / $25 outputGrok 4.3$1.25 input / $2.5 outputGrok 4.3 has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.8Not availableGrok 4.3209 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.8Not availableGrok 4.312.36 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.81MGrok 4.31MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.8Grok 4.3Result
Terminal-Bench 2.0Source 74.6%Not comparable
BrowseCompSource 84.3%Not comparable
DeepSearchQASource 93.1%Not comparable
OSWorld-VerifiedSource 83.4%Not comparable
Finance Agent v2Source 53.9%Not comparable
GDPval-AASource 16001085Claude Opus 4.8 leads
MCP AtlasSource 82.2%Not comparable
ToolathlonSource 59.9%Not comparable
Gert LabsSource 72.97%43.86%Claude Opus 4.8 leads
AA Agentic IndexSource 47.2%24.1%Claude Opus 4.8 leads
Tau2-TelecomSource 94.4%97.7%Grok 4.3 leads
GDPval-AASource 55.0%29.2%Claude Opus 4.8 leads
ResearchClawBenchSource 21.1%12.4%Claude Opus 4.8 leads
OSWorld 2.0Source 20.6%Not comparable
AA BriefcaseSource 1354750Claude Opus 4.8 leads
AA AutomationBenchSource 48.5%Not comparable
AA EnterpriseOps-GymSource 44.0%26.3%Claude Opus 4.8 leads
AA Harvey LABSource 7.5%0.0%Claude Opus 4.8 leads
AA Tau3 BankingSource 27.6%Not comparable
APEX-Agents-AASource 17.0%Not comparable
AA ITBenchSource 32.7%Not comparable
CodingClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Grok 4.3Result
SWE-bench VerifiedSource 88.6%Not comparable
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%Not comparable
cursorBench32Source 62.3%Not comparable
AA Coding IndexSource 74.3%42.3%Claude Opus 4.8 leads
Terminal-Bench HardSource 58.3%37.9%Claude Opus 4.8 leads
AA-SciCodeSource 53.5%47.3%Claude Opus 4.8 leads
FrontierCodeSource 46.5%Not comparable
AA Terminal-Bench 2.1Source 84.6%Not comparable
SciCodeSource 47.3%Not comparable
Reasoning
BenchmarkClaude Opus 4.8Grok 4.3Result
AA-LCRSource 67.7%64.3%Claude Opus 4.8 leads
CritPtSource 20.9%8.0%Claude Opus 4.8 leads
KnowledgeClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Grok 4.3Result
GPQASource 93.6%90.1%Claude Opus 4.8 leads
GPQA-DSource 93.6%Not comparable
HLESource 57.9%35%Claude Opus 4.8 leads
HLE w/o toolsSource 49.8%Not comparable
Artificial Analysis Intelligence IndexSource 55.7%37.6%Claude Opus 4.8 leads
AA-GPQA DiamondSource 92.0%90.1%Claude Opus 4.8 leads
AA-HLESource 45.7%35.0%Claude Opus 4.8 leads
AA-Omniscience IndexSource 27.4%18.3%Claude Opus 4.8 leads
AA-Omniscience AccuracySource 46.6%34.6%Claude Opus 4.8 leads
AA-Omniscience Hallucination RateSource 35.9%25.0%Grok 4.3 leads
Math
BenchmarkClaude Opus 4.8Grok 4.3Result
USAMO 2026Source 96.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 47.241%Not comparable
FrontierMath v2 (Tier 4)Source 31.250%Not comparable
Multilingual
BenchmarkClaude Opus 4.8Grok 4.3Result
INCLUDESource 87.6%Not comparable
MultimodalGrok 4.3 wins
BenchmarkClaude Opus 4.8Grok 4.3Result
OfficeQA ProSource 66.2%Not comparable
ScreenSpot ProSource 87.9%Not comparable
CharXivSource 89.9%Not comparable
CharXiv w/o toolsSource 80.5%Not comparable
Design Arena WebsiteSource 12811243Claude Opus 4.8 leads
MMMU-ProSource 78.1%Not comparable
AA-MMMU-ProSource 78.1%Not comparable
Inst. Following
BenchmarkClaude Opus 4.8Grok 4.3Result
AA-IFBenchSource 62.2%81.3%Grok 4.3 leads
IFBenchSource 81.3%Not comparable
Frequently Asked Questions (4)

Which is better, Claude Opus 4.8 or Grok 4.3?

Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 63. The biggest single separator in this matchup is HLE, where the scores are 57.9% and 35%.

Which is better for knowledge tasks, Claude Opus 4.8 or Grok 4.3?

Claude Opus 4.8 has the edge for knowledge tasks in this comparison, averaging 62.7 versus 42.4. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.8 or Grok 4.3?

Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 47.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Opus 4.8 or Grok 4.3?

Grok 4.3 has the edge for multimodal and grounded tasks in this comparison, averaging 78.1 versus 77. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.

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Last updated: July 12, 2026

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