Model comparison
Claude Opus 4.8 vs ZAYA1-8B
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.8 #5 (Supported); ZAYA1-8B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.8 and ZAYA1-8B share 2 comparable benchmark results. 2 of 8 categories are comparable. 51 results are unique to Claude Opus 4.8; 9 to ZAYA1-8B.
Updated July 23, 2026- Shared results
- 2
- Claude Opus 4.8 only
- 51
- ZAYA1-8B only
- 9
- Comparable categories
- 2 / 8
Treat this as a split decision. Claude Opus 4.8 makes more sense if you need the larger 1M context window; ZAYA1-8B is the better fit if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 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 and ZAYA1-8B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for ZAYA1-8B. That is roughly Infinityx on output cost alone. Claude Opus 4.8 gives you the larger context window at 1M, compared with 131K for ZAYA1-8B.
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 | ZAYA1-8B |
|---|---|---|---|
| Math | Claude Opus 4.853.9 | Margin→ 26.5 | ZAYA1-8B80.4 |
| Knowledge | Claude Opus 4.862.7 | Margin→ 10.9 | ZAYA1-8B73.6 |
| Agentic | Claude Opus 4.880.3 | MarginNo overlap | ZAYA1-8BNot measured |
| Coding | Claude Opus 4.881.1 | MarginNo overlap | ZAYA1-8BNot measured |
| Multimodal | Claude Opus 4.877.0 | MarginNo overlap | ZAYA1-8BNot measured |
| Inst. Following | Claude Opus 4.8Not measured | MarginNo overlap | ZAYA1-8B64.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 93.6%B 71%Winner: Claude Opus 4.8Δ 22.6GPQA: Claude Opus 4.8 scored 93.6%; ZAYA1-8B scored 71%. 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 | ZAYA1-8B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | ZAYA1-8B$0 input / $0 output | ZAYA1-8B has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | ZAYA1-8BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | ZAYA1-8BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | ZAYA1-8B131K | Claude Opus 4.8 lists the larger context window. |
Benchmark Deep Dive
Agentic22 benchmarks
| Benchmark | Claude Opus 4.8 | ZAYA1-8B | Result |
|---|---|---|---|
| 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 | 1594 | — | Not comparable |
| MCP AtlasSource | 82.2% | — | Not comparable |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | — | Not comparable |
| AA Agentic IndexSource | 47.2% | — | Not comparable |
| τ²-bench resultsSource | 94.4% | — | Not comparable |
| GDPval-AASource | 54.7% | — | Not comparable |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1347 | — | Not comparable |
| AA AutomationBenchSource | 48.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.0% | — | Not comparable |
| AA Harvey LABSource | 91.1% | — | Not comparable |
| AA Tau3 BankingSource | 27.6% | — | Not comparable |
| terminalBenchHardSource | 58.3% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
| BFCL v4Source | — | 39.2% | Not comparable |
Coding11 benchmarks
| Benchmark | Claude Opus 4.8 | ZAYA1-8B | 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% | — | Not comparable |
| AA-SciCodeSource | 53.5% | — | Not comparable |
| FrontierCode 1.1 MainSource | 46.5% | — | Not comparable |
| LiveCodeBench v6Source | — | 65.8% | Not comparable |
Reasoning2 benchmarks
KnowledgeZAYA1-8B wins11 benchmarks
| Benchmark | Claude Opus 4.8 | ZAYA1-8B | Result |
|---|---|---|---|
| GPQASource | 93.6% | 71% | Claude Opus 4.8 leads |
| GPQA-DSource | 93.6% | 71.0% | Claude Opus 4.8 leads |
| HLESource | 57.9% | — | Not comparable |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | — | Not comparable |
| AA-GPQA DiamondSource | 92.0% | — | Not comparable |
| AA-HLESource | 45.7% | — | Not comparable |
| AA-Omniscience IndexSource | 27.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 46.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 35.9% | — | Not comparable |
| MMLU-ProSource | — | 74.2% | Not comparable |
MathZAYA1-8B wins7 benchmarks
| Benchmark | Claude Opus 4.8 | ZAYA1-8B | Result |
|---|---|---|---|
| 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 |
| AIME26Source | — | 89.1% | Not comparable |
| HMMT Feb 2026Source | — | 71.6% | Not comparable |
| IMOAnswerBenchSource | — | 59.3% | Not comparable |
| ApexSource | — | 32.2% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | ZAYA1-8B | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (3)
Which is better, Claude Opus 4.8 or ZAYA1-8B?
Claude Opus 4.8 and ZAYA1-8B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Claude Opus 4.8 or ZAYA1-8B?
ZAYA1-8B has the edge for knowledge tasks in this comparison, averaging 73.6 versus 62.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.8 or ZAYA1-8B?
ZAYA1-8B has the edge for math in this comparison, averaging 80.4 versus 53.9. Claude Opus 4.8 stays close enough that the answer can still flip depending on your workload.
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