Model comparison
Claude Opus 4.8 vs Kimi K3
Head-to-head evidence from 31 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); Kimi K3 #4 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.8 and Kimi K3 share 31 comparable benchmark results. 3 of 8 categories are comparable. 22 results are unique to Claude Opus 4.8; 26 to Kimi K3.
Updated July 23, 2026- Shared results
- 31
- Claude Opus 4.8 only
- 22
- Kimi K3 only
- 26
- Comparable categories
- 3 / 8
Pick Kimi K3 if you want the stronger benchmark profile. Claude Opus 4.8 only becomes the better choice if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 31 shared benchmark results across 5 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
Kimi K3 has the cleaner BenchAlign overall profile here, landing at 80.96 versus 78.34. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Kimi K3's sharpest advantage is in agentic, where it averages 89.5 against 80.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 74.6% to 88.3%. Claude Opus 4.8 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 Kimi K3. Kimi K3 gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.8.
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 | Kimi K3 |
|---|---|---|---|
| Agentic | Claude Opus 4.880.3 | Margin→ 9.2 | Kimi K389.5 |
| Knowledge | Claude Opus 4.862.7 | Margin← 1.7 | Kimi K361.0 |
| Multimodal | Claude Opus 4.877.0 | Margin→ 1.5 | Kimi K378.5 |
| Coding | Claude Opus 4.881.1 | MarginNo overlap | Kimi K3Not measured |
| Math | Claude Opus 4.853.9 | MarginNo overlap | Kimi K3Not 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 88.3%Winner: Kimi K3Δ 13.7Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Kimi K3 scored 88.3%. Kimi K3 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.3%B 91.2%Winner: Kimi K3Δ 6.9BrowseComp: Claude Opus 4.8 scored 84.3%; Kimi K3 scored 91.2%. Kimi K3 wins this benchmark. - Source ↗
OfficeQA Pro
MultimodalA 66.2%B 63.3%Winner: Claude Opus 4.8Δ 2.9OfficeQA Pro: Claude Opus 4.8 scored 66.2%; Kimi K3 scored 63.3%. Claude Opus 4.8 wins this benchmark. - Source ↗
HLE
KnowledgeA 57.9%B 56%Winner: Claude Opus 4.8Δ 1.9HLE: Claude Opus 4.8 scored 57.9%; Kimi K3 scored 56%. Claude Opus 4.8 wins this benchmark. - Source ↗
CharXiv
MultimodalA 89.9%B 91.3%Winner: Kimi K3Δ 1.4CharXiv: Claude Opus 4.8 scored 89.9%; Kimi K3 scored 91.3%. Kimi K3 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 | Kimi K3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | Kimi K3$3 input / $15 output | Kimi K3 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | Kimi K3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | Kimi K3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | Kimi K31.05M | Kimi K3 lists the larger context window. |
Benchmark Deep Dive
AgenticKimi K3 wins29 benchmarks
| Benchmark | Claude Opus 4.8 | Kimi K3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | 88.3% | Kimi K3 leads |
| BrowseCompSource | 84.3% | 91.2% | Kimi K3 leads |
| DeepSearchQASource | 93.1% | 95.0% | Kimi K3 leads |
| OSWorld-VerifiedSource | 83.4% | — | Not comparable |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1594 | 1679 | Kimi K3 leads |
| MCP AtlasSource | 82.2% | 84.2% | Kimi K3 leads |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | — | Not comparable |
| AA Agentic IndexSource | 47.2% | 50.1% | Kimi K3 leads |
| τ²-bench resultsSource | 94.4% | — | Not comparable |
| GDPval-AASource | 54.7% | 59.0% | Kimi K3 leads |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1347 | 1543 | Kimi K3 leads |
| AA AutomationBenchSource | 48.5% | 52.7% | Kimi K3 leads |
| AA EnterpriseOps-GymSource | 44.0% | 45.3% | Kimi K3 leads |
| AA Harvey LABSource | 91.1% | 94.6% | Kimi K3 leads |
| AA Tau3 BankingSource | 27.6% | 33.4% | Kimi K3 leads |
| terminalBenchHardSource | 58.3% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | 85% | Kimi K3 leads |
| Toolathlon-VerifiedSource | — | 73.2% | Not comparable |
| AutomationBenchSource | — | 30.8% | Not comparable |
| JobBenchSource | — | 52.9% | Not comparable |
| APEX-AgentsSource | — | 37.6% | Not comparable |
| SpreadsheetBench 2Source | — | 34.8% | Not comparable |
| DECK-BenchSource | — | 73.5% | Not comparable |
| APEX-Agents-AASource | — | 41.3% | Not comparable |
| AA ITBenchSource | — | 47.7% | Not comparable |
Coding17 benchmarks
| Benchmark | Claude Opus 4.8 | Kimi K3 | Result |
|---|---|---|---|
| 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% | 76.2% | Kimi K3 leads |
| AA-SciCodeSource | 53.5% | 58.7% | Kimi K3 leads |
| FrontierCode 1.1 MainSource | 46.5% | — | Not comparable |
| deepSweSource | — | 67.5% | Not comparable |
| FrontierSWESource | — | 81.2% | Not comparable |
| ProgramBenchSource | — | 77.8% | Not comparable |
| Kimi Code Bench v2Source | — | 72.9% | Not comparable |
| sweMarathonSource | — | 42% | Not comparable |
| PostTrain BenchSource | — | 36.6% | Not comparable |
| MLS-Bench LiteSource | — | 48.3% | Not comparable |
Reasoning2 benchmarks
KnowledgeClaude Opus 4.8 wins10 benchmarks
| Benchmark | Claude Opus 4.8 | Kimi K3 | Result |
|---|---|---|---|
| GPQASource | 93.6% | 93.5% | Claude Opus 4.8 leads |
| GPQA-DSource | 93.6% | 93.5% | Claude Opus 4.8 leads |
| HLESource | 57.9% | 56% | Claude Opus 4.8 leads |
| HLE w/o toolsSource | 49.8% | 43.5% | Claude Opus 4.8 leads |
| Artificial Analysis Intelligence IndexSource | 55.7% | 57.1% | Kimi K3 leads |
| AA-GPQA DiamondSource | 92.0% | 93.5% | Kimi K3 leads |
| AA-HLESource | 45.7% | 44.3% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | 18.4% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 46.0% | Claude Opus 4.8 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 50.9% | Claude Opus 4.8 leads |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | Kimi K3 | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
MultimodalKimi K3 wins16 benchmarks
| Benchmark | Claude Opus 4.8 | Kimi K3 | Result |
|---|---|---|---|
| OfficeQA ProSource | 66.2% | 63.3% | Claude Opus 4.8 leads |
| ScreenSpot ProSource | 87.9% | — | Not comparable |
| CharXivSource | 89.9% | 91.3% | Kimi K3 leads |
| CharXiv w/o toolsSource | 80.5% | 84.8% | Kimi K3 leads |
| Design Arena WebsiteSource | 1270 | 1386 | Kimi K3 leads |
| MMMU-ProSource | — | 81.6% | Not comparable |
| MMMU-Pro w/ PythonSource | — | 83.4% | Not comparable |
| MathVisionSource | — | 94.3% | Not comparable |
| MathVision w/ PythonSource | — | 97.8% | Not comparable |
| BabyVision w/ PythonSource | — | 85.7% | Not comparable |
| ZeroBenchSource | — | 23.0% | Not comparable |
| ZeroBench w/ PythonSource | — | 41.0% | Not comparable |
| WorldVQA ForceAnswerSource | — | 51.0% | Not comparable |
| OmniDocBenchSource | — | 91.1% | Not comparable |
| PerceptionBenchSource | — | 58.5% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.8 | Kimi K3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 62.2% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, Claude Opus 4.8 or Kimi K3?
Kimi K3 is ahead on BenchLM's BenchAlign leaderboard, 80.96 to 78.34. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 74.6% and 88.3%.
Which is better for knowledge tasks, Claude Opus 4.8 or Kimi K3?
Claude Opus 4.8 has the edge for knowledge tasks in this comparison, averaging 62.7 versus 61. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.8 or Kimi K3?
Kimi K3 has the edge for agentic tasks in this comparison, averaging 89.5 versus 80.3. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Opus 4.8 or Kimi K3?
Kimi K3 has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 77. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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