Model comparison
Claude Opus 4.8 vs Grok 4.5
Head-to-head evidence from 25 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.8 #5 (Supported); Grok 4.5 #7 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.8 and Grok 4.5 share 25 comparable benchmark results. 2 of 8 categories are comparable. 28 results are unique to Claude Opus 4.8; 3 to Grok 4.5.
Updated July 23, 2026- Shared results
- 25
- Claude Opus 4.8 only
- 28
- Grok 4.5 only
- 3
- Comparable categories
- 2 / 8
Pick Claude Opus 4.8 if you want the stronger benchmark profile. Grok 4.5 only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 25 shared benchmark results across 5 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 4.8 has the cleaner BenchAlign overall profile here, landing at 78.34 versus 76.72. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Opus 4.8's sharpest advantage is in coding, where it averages 81.1 against 64.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 74.6% to 83.3%. Grok 4.5 does hit back in agentic, 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 $2.00 input / $6.00 output per 1M tokens for Grok 4.5. That is roughly 4.2x on output cost alone. Claude Opus 4.8 gives you the larger context window at 1M, compared with 500K for Grok 4.5.
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 4.8 | Δ | Grok 4.5 |
|---|---|---|---|
| Coding | Claude Opus 4.881.1 | Margin← 16.4 | Grok 4.564.7 |
| Agentic | Claude Opus 4.880.3 | Margin→ 3.0 | Grok 4.583.3 |
| Knowledge | Claude Opus 4.862.7 | MarginNo overlap | Grok 4.5Not measured |
| Math | Claude Opus 4.853.9 | MarginNo overlap | Grok 4.5Not measured |
| Multimodal | Claude Opus 4.877.0 | MarginNo overlap | Grok 4.5Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 74.6%B 83.3%Winner: Grok 4.5Δ 8.7Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Grok 4.5 scored 83.3%. Grok 4.5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 69.2%B 64.7%Winner: Claude Opus 4.8Δ 4.5SWE-bench Pro: Claude Opus 4.8 scored 69.2%; Grok 4.5 scored 64.7%. Claude Opus 4.8 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.8 | Grok 4.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | Grok 4.5$2 input / $6 output | Grok 4.5 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | Grok 4.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | Grok 4.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | Grok 4.5500K | Claude Opus 4.8 lists the larger context window. |
Benchmark Deep Dive
AgenticGrok 4.5 wins22 benchmarks
| Benchmark | Claude Opus 4.8 | Grok 4.5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | 83.3% | Grok 4.5 leads |
| 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 | 1594 | 1535 | Claude Opus 4.8 leads |
| MCP AtlasSource | 82.2% | — | Not comparable |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | — | Not comparable |
| AA Agentic IndexSource | 47.2% | 45.7% | Claude Opus 4.8 leads |
| τ²-bench resultsSource | 94.4% | — | Not comparable |
| GDPval-AASource | 54.7% | 51.7% | Claude Opus 4.8 leads |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1347 | 1323 | Claude Opus 4.8 leads |
| AA AutomationBenchSource | 48.5% | 51.4% | Grok 4.5 leads |
| AA EnterpriseOps-GymSource | 44.0% | 40.8% | Claude Opus 4.8 leads |
| AA Harvey LABSource | 91.1% | 92.4% | Grok 4.5 leads |
| AA Tau3 BankingSource | 27.6% | 32.6% | Grok 4.5 leads |
| terminalBenchHardSource | 58.3% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | 81.6% | Claude Opus 4.8 leads |
| deepSweSource | — | 53% | Not comparable |
CodingClaude Opus 4.8 wins11 benchmarks
| Benchmark | Claude Opus 4.8 | Grok 4.5 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | — | Not comparable |
| SWE-bench ProSource | 69.2% | 64.7% | Claude Opus 4.8 leads |
| SWE MultilingualSource | 84.4% | 78% | Claude Opus 4.8 leads |
| SWE MultimodalSource | 38.4% | — | Not comparable |
| Terminal-Bench 2.0Source | 74.6% | 83.3% | Grok 4.5 leads |
| cursorBench31Source | 58.4% | — | Not comparable |
| cursorBench32Source | 62.3% | 66.7% | Grok 4.5 leads |
| AA Coding IndexSource | 74.3% | 72.5% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 53.5% | 54.1% | Grok 4.5 leads |
| FrontierCode 1.1 MainSource | 46.5% | — | Not comparable |
| VulcanBench v3Source | — | 91.3% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Opus 4.8 | Grok 4.5 | Result |
|---|---|---|---|
| GPQASource | 93.6% | — | Not comparable |
| GPQA-DSource | 93.6% | — | Not comparable |
| HLESource | 57.9% | — | Not comparable |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | 53.8% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 92.0% | 93.1% | Grok 4.5 leads |
| AA-HLESource | 45.7% | 40.3% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | 26.4% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 52.1% | Grok 4.5 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 53.5% | Claude Opus 4.8 leads |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | Grok 4.5 | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.8 | Grok 4.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 62.2% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Opus 4.8 or Grok 4.5?
Claude Opus 4.8 is ahead on BenchLM's BenchAlign leaderboard, 78.34 to 76.72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 74.6% and 83.3%.
Which is better for coding, Claude Opus 4.8 or Grok 4.5?
Claude Opus 4.8 has the edge for coding in this comparison, averaging 81.1 versus 64.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.8 or Grok 4.5?
Grok 4.5 has the edge for agentic tasks in this comparison, averaging 83.3 versus 80.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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