Model comparison
Claude Opus 4.6 (Adaptive) vs Grok 4.3
Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 (Adaptive) #35 (Estimated); Grok 4.3 #31 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 (Adaptive) and Grok 4.3 share 14 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Opus 4.6 (Adaptive); 11 to Grok 4.3.
Updated July 23, 2026- Shared results
- 14
- Claude Opus 4.6 (Adaptive) only
- 2
- Grok 4.3 only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.6 (Adaptive) and Grok 4.3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
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 | Claude Opus 4.6 (Adaptive) | Δ | Grok 4.3 |
|---|---|---|---|
| Coding | Claude Opus 4.6 (Adaptive)Not measured | MarginNo overlap | Grok 4.347.3 |
| Knowledge | Claude Opus 4.6 (Adaptive)Not measured | MarginNo overlap | Grok 4.342.4 |
| Multimodal | Claude Opus 4.6 (Adaptive)Not measured | MarginNo overlap | Grok 4.378.1 |
| Inst. Following | Claude Opus 4.6 (Adaptive)Not measured | MarginNo overlap | Grok 4.381.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 (Adaptive) | Grok 4.3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6 (Adaptive)Not available | Grok 4.3$1.25 input / $2.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.6 (Adaptive)Not available | Grok 4.3209 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.6 (Adaptive)Not available | Grok 4.312.36 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.6 (Adaptive)1M | Grok 4.31M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | Grok 4.3 | Result |
|---|---|---|---|
| APEX-Agents-AASource | 33.0% | 17.0% | Claude Opus 4.6 (Adaptive) leads |
| τ²-bench resultsSource | 92.1% | 97.7% | Grok 4.3 leads |
| GDPval-AASource | — | 29.2% | Not comparable |
| AA Agentic IndexSource | — | 24.1% | Not comparable |
| GDPval-AASource | — | 1085 | Not comparable |
| Gert LabsSource | — | 43.86% | Not comparable |
| ResearchClawBenchSource | — | 12.4% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | Grok 4.3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 43.7% | 37.6% | Claude Opus 4.6 (Adaptive) leads |
| AA-GPQA DiamondSource | 89.6% | 90.1% | Grok 4.3 leads |
| AA-HLESource | 36.7% | 35.0% | Claude Opus 4.6 (Adaptive) leads |
| AA-Omniscience IndexSource | 13.5% | 18.3% | Grok 4.3 leads |
| AA-Omniscience AccuracySource | 46.4% | 34.6% | Claude Opus 4.6 (Adaptive) leads |
| AA-Omniscience Hallucination RateSource | 61.3% | 25.0% | Grok 4.3 leads |
| GPQASource | — | 90.1% | Not comparable |
| HLESource | — | 35% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | Grok 4.3 | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (3)
Can I compare Claude Opus 4.6 (Adaptive) and Grok 4.3 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.6 (Adaptive) and Grok 4.3 today?
Grok 4.3: $1.25 input / $2.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.