Harvey LAB — Mercor evaluation (Harvey LAB (Mercor))
We show this table for reference; we do not rank on it.
Producing legal work across practice areas and contract tasks. This table shows Mercor-run configurations for reference and is excluded from model rankings.
Evaluation results published by Mercor. Published evaluation aggregates only; task contents and dataset license grants are not included.
Pass@1 on Harvey LAB (Mercor) — October 15, 2026 capture
We mirror the published pass@1 view for Harvey LAB (Mercor). Grok 4.7 leads the public snapshot at 19.50%, followed by Muse Spark 1.2 (19.40%) and Opus 5 (17.80%). We do not use these results to rank models overall.
Grok 4.7
xAI
Harvey LAB Agent · xhigh reasoning
Published margin ±4.5 · 630 reported samples
Muse Spark 1.2
Meta
Harvey LAB Agent · xhigh reasoning
Published margin ±4.6 · 639 reported samples
Opus 5
Anthropic
Harvey LAB Agent · max reasoning
Published margin ±1.5 · 5,236 reported samples
40 configurationsAgenticDated Mercor configurationsDisplay onlyUpdated October 15, 2026 capture
Pass@1 table (40 configurations)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Grok 4.7xAIHarvey LAB Agent · xhigh reasoningPublished margin ±4.5 · 630 reported samples | 19.50% | Not reported | Unknown |
| 2 | Muse Spark 1.2MetaHarvey LAB Agent · xhigh reasoningPublished margin ±4.6 · 639 reported samples | 19.40% | Not reported | Unknown |
| 3 | Opus 5AnthropicHarvey LAB Agent · max reasoningPublished margin ±1.5 · 5,236 reported samples | 17.80% | Not reported | Unknown |
| 4 | Fable 5.1AnthropicHarvey LAB Agent · max reasoningPublished margin ±4.2 · 639 reported samples | 17.40% | Not reported | Unknown |
| 5 | Muse Spark 1.3MetaHarvey LAB Agent · max reasoningPublished margin ±4.1 · 639 reported samples | 15.00% | Not reported | Unknown |
| 6 | Kimi K3KimiHarvey LAB Agent · max reasoningPublished margin ±1.4 · 5,216 reported samples | 14.90% | Not reported | Unknown |
| 7 | GLM-5.3ZhipuHarvey LAB Agent · max reasoningPublished margin ±3.8 · 639 reported samples | 14.60% | Not reported | Unknown |
| 8 | Fable 5AnthropicHarvey LAB Agent · max reasoningPublished margin ±1.4 · 5,212 reported samples | 14.40% | Not reported | Unknown |
| 9 | Qwen3.8-MaxAlibabaHarvey LAB Agent · xhigh reasoningPublished margin ±1.3 · 5,204 reported samples | 11.90% | Not reported | Unknown |
| 10 | DeepSeek-V4-Pro-0813DeepSeekHarvey LAB Agent · max reasoningPublished margin ±1.2 · 5,209 reported samples | 11.40% | Not reported | Unknown |
| 11 | Gemini 3.8 FlashGoogleHarvey LAB Agent · high reasoningPublished margin ±3.5 · 639 reported samples | 11.40% | Not reported | Unknown |
| 12 | GLM-5.3-FlashZhipuHarvey LAB Agent · max reasoningPublished margin ±3.4 · 638 reported samples | 11.10% | Not reported | Unknown |
| 13 | Opus 5.5AnthropicHarvey LAB Agent · max reasoningPublished margin ±3.4 · 622 reported samples | 10.80% | Not reported | Unknown |
| 14 | Grok 4.5xAIHarvey LAB Agent · high reasoningPublished margin ±1.2 · 5,209 reported samples | 10.70% | Not reported | Unknown |
| 15 | Sonnet 5.5AnthropicHarvey LAB Agent · max reasoningPublished margin ±3.6 · 545 reported samples | 10.00% | Not reported | Unknown |
| 16 | Opus 4.8AnthropicHarvey LAB Agent · max reasoningPublished margin ±1.1 · 5,227 reported samples | 9.40% | Not reported | Unknown |
| 17 | Gemini 3.7 FlashGoogleHarvey LAB Agent · high reasoningPublished margin ±1.1 · 5,247 reported samples | 9.30% | Not reported | Unknown |
| 18 | GPT-6 AstraOpenAIHarvey LAB Agent · max reasoningPublished margin ±3.3 · 638 reported samples | 9.20% | Not reported | Unknown |
| 19 | GPT-6.1 SolOpenAIHarvey LAB Agent · max reasoningPublished margin ±3.4 · 616 reported samples | 8.80% | Not reported | Unknown |
| 20 | Opus 4.7AnthropicHarvey LAB Agent · max reasoningPublished margin ±1.1 · 5,236 reported samples | 8.70% | Not reported | Unknown |
| 21 | Sonnet 5AnthropicHarvey LAB Agent · max reasoningPublished margin ±1.1 · 5,188 reported samples | 8.60% | Not reported | Unknown |
| 22 | GPT-6 AstraOpenAIHarvey LAB Agent · xhigh reasoningPublished margin ±2.8 · 635 reported samples | 6.10% | Not reported | Unknown |
| 23 | MiniMax-M3MiniMaxHarvey LAB Agent · high reasoningPublished margin ±0.8 · 5,209 reported samples | 5.30% | Not reported | Unknown |
| 24 | Haiku 5.5AnthropicHarvey LAB Agent · max reasoningPublished margin ±2.1 · 639 reported samples | 4.90% | Not reported | Unknown |
| 25 | DeepSeek-V4-ProDeepSeekHarvey LAB Agent · max reasoningPublished margin ±0.7 · 5,247 reported samples | 4.50% | Not reported | Unknown |
| 26 | Nemotron 3 UltraNVIDIAHarvey LAB Agent · high reasoningPublished margin ±2.3 · 639 reported samples | 4.50% | Not reported | Unknown |
| 27 | GPT-5.5OpenAIHarvey LAB Agent · xhigh reasoningPublished margin ±0.7 · 5,235 reported samples | 4.10% | Not reported | Unknown |
| 28 | Gemini 3.6 FlashGoogleHarvey LAB Agent · high reasoningPublished margin ±0.8 · 5,242 reported samples | 4.10% | Not reported | Unknown |
| 29 | GPT-6 SolOpenAIHarvey LAB Agent · max reasoningPublished margin ±2.2 · 639 reported samples | 4.10% | Not reported | Unknown |
| 30 | GPT-5.6 LunaOpenAIHarvey LAB Agent · max reasoningPublished margin ±1.8 · 639 reported samples | 3.90% | Not reported | Unknown |
| 31 | GPT-6 LunaOpenAIHarvey LAB Agent · max reasoningPublished margin ±2 · 611 reported samples | 3.10% | Not reported | Unknown |
| 32 | Kimi K2.7 CodeKimiHarvey LAB Agent · high reasoningPublished margin ±0.6 · 5,226 reported samples | 2.70% | Not reported | Unknown |
| 33 | GPT-5.6 Sol (Pro)OpenAIHarvey LAB Agent · max reasoningPublished margin ±0.6 · 5,134 reported samples | 2.70% | Not reported | Unknown |
| 34 | GLM-5.1ZhipuHarvey LAB AgentPublished margin ±1.6 · 639 reported samples | 2.70% | Not reported | Unknown |
| 35 | GPT-5.6 TerraOpenAIHarvey LAB Agent · max reasoningPublished margin ±1.4 · 639 reported samples | 2.30% | Not reported | Unknown |
| 36 | MiniMax-M2.7MiniMaxHarvey LAB Agent · high reasoningPublished margin ±0.4 · 5,244 reported samples | 1.90% | Not reported | Unknown |
| 37 | Gemini 3.5 Flash LiteGoogleHarvey LAB Agent · high reasoningPublished margin ±1 · 639 reported samples | 1.30% | Not reported | Unknown |
| 38 | GPT-5.4OpenAIHarvey LAB Agent · xhigh reasoningPublished margin ±0.4 · 5,242 reported samples | 1.20% | Not reported | Unknown |
| 39 | Gemini 3.5 FlashGoogleHarvey LAB Agent · high reasoningPublished margin ±0.3 · 5,345 reported samples | 0.70% | Not reported | Unknown |
| 40 | Gemini 3.1 ProGoogleHarvey LAB Agent · high reasoningPublished margin ±0.1 · 5,247 reported samples | 0.10% | Not reported | Unknown |
How to read this Mercor evaluation
We captured Mercor's Harvey LAB results on October 15, 2026. The table preserves 40 published configurations, their source identifiers, reasoning settings, and disclosed pass@1 values. These are results from Mercor's evaluation setup; we did not rerun them.
This dated source table is display only and does not enter overall or category rankings. Source configurations retain their external identity, including Pro descriptors and different effort settings.
Mercor lists Harvey LAB twice on the index. We use the single linked result page once and retain its current scores, rather than combining the duplicate index cards.
The row labels retain published error margins and sample counts when supplied. Missing margins and counts remain unreported; a sample count is not used to reconstruct a task denominator. Except where the dedicated source defines an interval, the confidence level is unreported. Equal displayed scores and overlapping margins do not establish statistical ties. Capture time does not establish individual evaluation dates.
The general methodology lists expert-authored rubrics, scored criterion by criterion and a judge of Gemini 3 Flash Preview. Its run-count label is k = 3. The linked result page takes precedence where its setup differs, as noted above.
Snapshot
The published Harvey LAB (Mercor) snapshot places Grok 4.7 first at 19.50%. The third row is 1.70 points behind. The broader top-10 range is 8.10 points, so many of the published results sit in a relatively narrow band.
40 configurations are shown for Harvey LAB (Mercor). The benchmark falls in the Agentic category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Harvey LAB (Mercor) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Harvey LAB (Mercor)
Tasks
1,749 source-reported tasks
Format
Pass@1
Difficulty
Source-specific evaluation
The selected headline is Pass@1. Source model identifiers, effort settings, published margins, and reported sample counts remain attached to the source configuration. Public-set results and Mercor task extensions occupy separate tables.
Freshness and provenance
Version
Harvey LAB; Mercor Pass@1
Refresh cadence
Reviewed dated source capture
Staleness state
Dated Mercor configurations
Question availability
Upstream task access and terms; only aggregate results mirrored
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Harvey LAB (Mercor) measure?
Producing legal work across practice areas and contract tasks. This table shows Mercor-run configurations for reference and is excluded from model rankings.
Which model leads the published Harvey LAB (Mercor) snapshot?
Grok 4.7 currently leads the published Harvey LAB (Mercor) snapshot with 19.50% pass@1. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Harvey LAB (Mercor)?
The October 15, 2026 capture snapshot contains 40 source configurations.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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