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APEX-1 — Mercor evaluation (APEX-1 (Mercor))

We show this table for reference; we do not rank on it.

Single-turn professional deliverables graded against expert-written criteria. 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.

Mean Score on APEX-1 (Mercor) — October 15, 2026 capture

We mirror the published mean score view for APEX-1 (Mercor). Muse Spark 1.2 leads the public snapshot at 75.60%, followed by Muse Spark 1.3 (74.00%) and Fable 5.1 (73.80%). We do not use these results to rank models overall.

70 configurationsCross-domainDated Mercor configurationsDisplay onlyUpdated October 15, 2026 capture

Mean Score table (70 configurations)

Mean Score results for APEX-1 (Mercor)
RankModel / configurationScoreParameters (B)Open / closed
1Muse Spark 1.2MetaSingle-shot agent · xhigh reasoningPublished margin ±2.3 · 1,593 reported samples
75.60%
Not reportedUnknown
2Muse Spark 1.3MetaSingle-shot agent · xhigh reasoningPublished margin ±2.3 · 1,599 reported samples
74.00%
Not reportedUnknown
3Fable 5.1AnthropicSingle-shot agent · max reasoningPublished margin ±2.7 · 1,577 reported samples
73.80%
Not reportedUnknown
4Muse Spark 1.1MetaSingle-shot agent · xhigh reasoningPublished margin ±2.2 · 1,591 reported samples
73.80%
Not reportedUnknown
5GPT-5.6 Sol (Pro)OpenAISingle-shot agent · max reasoningPublished margin ±2.4 · 1,600 reported samples
73.10%
Not reportedUnknown
6Muse Spark 1.3MetaSingle-shot agent · max reasoningPublished margin ±2.3 · 1,600 reported samples
73.00%
Not reportedUnknown
7GPT-5.6 TerraOpenAISingle-shot agent · max reasoningPublished margin ±2.4 · 1,598 reported samples
69.50%
Not reportedUnknown
8GPT-6 AstraOpenAISingle-shot agent · xhigh reasoningPublished margin ±2.6 · 1,580 reported samples
69.30%
Not reportedUnknown
9GPT-6.1 SolOpenAISingle-shot agent · max reasoningPublished margin ±2.6 · 1,436 reported samples
69.30%
Not reportedUnknown
10Gemini 3.8 FlashGoogleSingle-shot agent · high reasoningPublished margin ±2.7 · 1,599 reported samples
68.80%
Not reportedUnknown
11Opus 5AnthropicSingle-shot agent · xhigh reasoningPublished margin ±2.9 · 1,595 reported samples
68.60%
Not reportedUnknown
12Kimi K3KimiSingle-shot agent · max reasoningPublished margin ±2.3 · 1,600 reported samples
68.40%
Not reportedUnknown
13GPT-5.5OpenAISingle-shot agent · xhigh reasoningPublished margin ±2.4 · 1,600 reported samples
68.40%
Not reportedUnknown
14Grok 4.6xAISingle-shot agent · xhigh reasoningPublished margin ±2.5 · 1,600 reported samples
67.70%
Not reportedUnknown
15GPT 5.4OpenAISingle-shot agent · high reasoningPublished margin ±2.4 · 3,142 reported samples
67.20%
Not reportedUnknown
16Gemini 3.7 FlashGoogleSingle-shot agent · high reasoningPublished margin ±2.6 · 1,600 reported samples
67.00%
Not reportedUnknown
17GPT-5.6 LunaOpenAISingle-shot agent · max reasoningPublished margin ±2.5 · 1,586 reported samples
66.60%
Not reportedUnknown
18Fable 5AnthropicSingle-shot agent · max reasoningPublished margin ±2.9 · 1,600 reported samples
66.00%
Not reportedUnknown
19Gemini 3.6 FlashGoogleSingle-shot agent · high reasoningPublished margin ±2.5 · 1,600 reported samples
66.00%
Not reportedUnknown
20DeepSeek-V4-Pro-0813DeepSeekSingle-shot agent · max reasoningPublished margin ±2.5 · 1,591 reported samples
66.00%
Not reportedUnknown
21Opus 5.5AnthropicSingle-shot agent · max reasoningPublished margin ±3.2 · 1,600 reported samples
65.80%
Not reportedUnknown
22Opus 4.6AnthropicSingle-shot agent · max reasoningPublished margin ±2.6 · 1,600 reported samples
65.70%
Not reportedUnknown
23GPT-5.4OpenAISingle-shot agent · xhigh reasoningPublished margin ±2.4 · 1,600 reported samples
65.60%
Not reportedUnknown
24DeepSeek-V4.1-FlashDeepSeekSingle-shot agent · max reasoningPublished margin ±2.6 · 1,600 reported samples
65.50%
Not reportedUnknown
25Grok 4.7xAISingle-shot agent · xhigh reasoningPublished margin ±2.6 · 1,591 reported samples
65.40%
Not reportedUnknown
26Opus 4.6AnthropicSingle-shot agent · high reasoningPublished margin ±2.7 · 1,599 reported samples
65.30%
Not reportedUnknown
27GPT-5.2-CodexOpenAISingle-shot agent · high reasoningPublished margin ±2.6 · 1,588 reported samples
65.30%
Not reportedUnknown
28Qwen3.8-MaxAlibabaSingle-shot agent · xhigh reasoningPublished margin ±2.5 · 1,559 reported samples
65.30%
Not reportedUnknown
29GPT-5.2OpenAISingle-shot agent · high reasoningPublished margin ±2.5 · 1,599 reported samples
64.70%
Not reportedUnknown
30Haiku 5.5AnthropicSingle-shot agent · max reasoningPublished margin ±2.6 · 1,600 reported samples
64.70%
Not reportedUnknown
31GPT-5.3-CodexOpenAISingle-shot agent · high reasoningPublished margin ±2.4 · 1,599 reported samples
64.60%
Not reportedUnknown
32GPT-5OpenAISingle-shot agent · high reasoningPublished margin ±2.5 · 3,182 reported samples
64.50%
Not reportedUnknown
33DeepSeek-V4-FlashDeepSeekSingle-shot agent · max reasoningPublished margin ±2.6 · 1,600 reported samples
63.80%
Not reportedUnknown
34GPT-6 SolOpenAISingle-shot agent · max reasoningPublished margin ±2.6 · 1,588 reported samples
63.60%
Not reportedUnknown
35GLM-5.3ZhipuSingle-shot agent · max reasoningPublished margin ±2.9 · 1,593 reported samples
62.90%
Not reportedUnknown
36GPT-5-CodexOpenAISingle-shot agent · high reasoningPublished margin ±2.6 · 1,593 reported samples
62.80%
Not reportedUnknown
37Opus 4.8AnthropicSingle-shot agent · max reasoningPublished margin ±3 · 1,600 reported samples
62.70%
Not reportedUnknown
38Qwen 3.8 27BAlibabaSingle-shot agent · xhigh reasoningPublished margin ±2.7 · 1,580 reported samples
62.60%
Not reportedUnknown
39Opus 4.7AnthropicSingle-shot agent · max reasoningPublished margin ±2.8 · 1,600 reported samples
62.20%
Not reportedUnknown
40Gemini 3.5 FlashGoogleSingle-shot agent · high reasoningPublished margin ±2.8 · 1,600 reported samples
62.20%
Not reportedUnknown
41GPT-6 LunaOpenAISingle-shot agent · max reasoningPublished margin ±2.7 · 1,600 reported samples
62.00%
Not reportedUnknown
42GPT-5.1-CodexOpenAISingle-shot agent · high reasoningPublished margin ±2.7 · 1,591 reported samples
61.90%
Not reportedUnknown
43Gemini 3.1 ProGoogleSingle-shot agent · high reasoningPublished margin ±2.5 · 1,599 reported samples
61.80%
Not reportedUnknown
44Grok 4.5xAISingle-shot agent · high reasoningPublished margin ±2.5 · 1,600 reported samples
61.80%
Not reportedUnknown
45GLM-5.2ZhipuSingle-shot agent · max reasoningPublished margin ±2.5 · 1,600 reported samples
61.50%
Not reportedUnknown
46Gemini 3 ProGoogleSingle-shot agent · high reasoningPublished margin ±2.4 · 3,200 reported samples
60.90%
Not reportedUnknown
47Gemini 3 FlashGoogleSingle-shot agent · high reasoningPublished margin ±2.3 · 1,600 reported samples
60.90%
Not reportedUnknown
48o3OpenAISingle-shot agent · high reasoningPublished margin ±2.5 · 1,598 reported samples
60.50%
Not reportedUnknown
49Kimi K2.7 CodeKimiSingle-shot agent · high reasoningPublished margin ±2.5 · 1,596 reported samples
60.10%
Not reportedUnknown
50MiniMax-M3MiniMaxSingle-shot agent · high reasoningPublished margin ±2.5 · 1,600 reported samples
59.80%
Not reportedUnknown
51DeepSeek-V4-ProDeepSeekSingle-shot agent · max reasoningPublished margin ±2.7 · 1,594 reported samples
59.70%
Not reportedUnknown
52GLM-5.3-FlashZhipuSingle-shot agent · max reasoningPublished margin ±3.1 · 1,600 reported samples
58.70%
Not reportedUnknown
53InklingThinking MachinesSingle-shot agent · high reasoningPublished margin ±2.7 · 1,596 reported samples
58.10%
Not reportedUnknown
54Grok 4.1xAISingle-shot agent · fast reasoningPublished margin ±2.6 · 1,600 reported samples
57.50%
Not reportedUnknown
55Opus 4.5AnthropicSingle-shot agent · high reasoningPublished margin ±2.8 · 3,199 reported samples
57.30%
Not reportedUnknown
56Grok 4xAISingle-shot agentPublished margin ±2.7 · 1,592 reported samples
57.10%
Not reportedUnknown
57Nemotron 3 UltraNVIDIASingle-shot agent · high reasoningPublished margin ±2.6 · 1,600 reported samples
56.10%
Not reportedUnknown
58Sonnet 4.6AnthropicSingle-shot agent · high reasoningPublished margin ±3.3 · 1,600 reported samples
55.10%
Not reportedUnknown
59Gemini 3.5 Flash LiteGoogleSingle-shot agent · high reasoningPublished margin ±2.5 · 1,600 reported samples
54.70%
Not reportedUnknown
60Sonnet 5.5AnthropicSingle-shot agent · max reasoningPublished margin ±3.7 · 1,598 reported samples
53.90%
Not reportedUnknown
61Kimi K2 (Thinking)KimiSingle-shot agent · high reasoningPublished margin ±2.5 · 1,517 reported samples
52.40%
Not reportedUnknown
62GLM-5.1ZhipuSingle-shot agentPublished margin ±2.5 · 1,576 reported samples
52.40%
Not reportedUnknown
63GLM-4.7ZhipuSingle-shot agentPublished margin ±2.7 · 1,439 reported samples
51.70%
Not reportedUnknown
64DeepSeek-V3.2DeepSeekSingle-shot agentPublished margin ±2.7 · 1,599 reported samples
51.50%
Not reportedUnknown
65Qwen3.5AlibabaSingle-shot agentPublished margin ±2.5 · 1,600 reported samples
50.30%
Not reportedUnknown
66Sonnet 5AnthropicSingle-shot agent · max reasoningPublished margin ±3.4 · 1,599 reported samples
49.60%
Not reportedUnknown
67GLM-5 (Thinking)ZhipuSingle-shot agentPublished margin ±2.9 · 1,599 reported samples
49.00%
Not reportedUnknown
68Gemma 4 31BGoogleSingle-shot agentPublished margin ±2.7 · 1,574 reported samples
48.10%
Not reportedUnknown
69GPT-OSS-120BOpenAISingle-shot agent · high reasoningPublished margin ±2.7 · 1,600 reported samples
46.40%
Not reportedUnknown
70MiniMax-M2.7MiniMaxSingle-shot agent · high reasoningPublished margin ±2.7 · 1,600 reported samples
45.80%
Not reportedUnknown

How to read this Mercor evaluation

We captured Mercor's APEX-1 results on October 15, 2026. The table preserves 70 published configurations, their source identifiers, reasoning settings, and disclosed mean score 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.

Mean score is rubric-criterion coverage, not the fraction of tasks fully completed. The leaderboard description lists 400 tasks and eight runs, while the general methodology lists 300 tasks and four runs. We preserve the published aggregates and sample counts without choosing a common denominator or combining these results with another APEX edition.

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 LLM judge over expert rubrics. Its run-count label is k = 4. The linked result page takes precedence where its setup differs, as noted above.

The published APEX-1 (Mercor) snapshot places Muse Spark 1.2 first at 75.60%. The third row is 1.80 points behind. The broader top-10 range is 6.80 points, so many of the published results sit in a relatively narrow band.

70 configurations are shown for APEX-1 (Mercor). The benchmark falls in the Cross-domain category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. APEX-1 (Mercor) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About APEX-1 (Mercor)

Tasks

Task and run counts differ across source pages

Format

Mean Score

Difficulty

Source-specific evaluation

The selected headline is Mean Score. 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

APEX-1; Mercor Mean Score; singleshot_agent

Refresh cadence

Reviewed dated source capture

Staleness state

Dated Mercor configurations

Question availability

Upstream task access and terms; only aggregate results mirrored

Dated Mercor configurationsDisplay only

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 APEX-1 (Mercor) measure?

Single-turn professional deliverables graded against expert-written criteria. This table shows Mercor-run configurations for reference and is excluded from model rankings.

Which model leads the published APEX-1 (Mercor) snapshot?

Muse Spark 1.2 currently leads the published APEX-1 (Mercor) snapshot with 75.60% mean score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on APEX-1 (Mercor)?

The October 15, 2026 capture snapshot contains 70 source configurations.

Last updated: October 15, 2026 capture · mirrored from the public benchmark leaderboard

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