BenchLeader

Apodex 1.1

Apodex 1.1 is an Apodex proprietary reasoning model, released 30 Aug 2026. Its best configuration ranks #253 of 785 on the BenchLeader Index at 54.4 ±4.7, in the upper half. The ± is the point: 292 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (65) and lowest in reasoning (48). At $0.975 per million tokens blended it is mid-priced. Last measured 30 Aug 2026.

Blended price
$0.975/M
$0.300 in · $3.00 out
Output speed
–
First answer
–
Context
256k
Full answer
–
Cost per run
$0.464
one full Intelligence Index run
Released
30 Aug 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index54
  2. Reasoning48
  3. Agents & tools54
  4. Knowledge52
  5. Multimodal62
  6. Long context65
  7. Composite59

How its index has moved

19 Sept 2026 to 19 Oct 2026
505561

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarknot statedSourceTrend
GPQA Diamond (AA)not in index86.4%#111Artificial Analysis
Humanity's Last Exam (AA)not in index34.1%#129Artificial Analysis
CritPt4.6%#161Artificial Analysis

Coding

Benchmarknot statedSourceTrend
SciCode (AA)not in index45.5%#143Artificial Analysis
Terminal-Bench 4.0 (AA)not in index0.0%#152Artificial Analysis
Terminal-Bench 2.1 (AA)not in index69.7%#73Artificial Analysis

Agents & tools

Benchmarknot statedSourceTrend
GDPval-AA v2.1not in index34.4%#71Artificial Analysis
τ³-Banking (AA)25.1%#82Artificial Analysis
APEX-Agents (AA)not in index31.2%#12Artificial Analysis
AutomationBenchnot in index28.2%#121Artificial Analysis
GDP.pdf (AA)not in index11.2%#120Artificial Analysis

Knowledge

Multimodal

Benchmarknot statedSourceTrend
MMMU-Pro79.2%#62Artificial Analysis

Long context

Benchmarknot statedSourceTrend
AA-LCR79.3%#98Artificial Analysis

Composite

Benchmarknot statedSourceTrend
AA Intelligence Index v4.3.226.4#153Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0010––
Summarize a 30-page report12,000 / 600$0.0054––
Code edit6,000 / 1,500$0.0063––
Agentic coding session60,000 / 4,000$0.030––
Structured extraction2,000 / 200$0.0012––

New this month

See also

Questions people ask

What are Apodex 1.1's benchmark scores?
As of 24 Oct 2026, Apodex 1.1 scores 54.4 ±4.7 on the BenchLeader Index, strongest in long context (65) and weakest in reasoning (48). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
How does Apodex 1.1 rank?
Apodex 1.1 is #253 of 785 ranked configurations on 24 Oct 2026. 292 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does Apodex 1.1 cost per 1M tokens?
As of 24 Oct 2026, Apodex 1.1 costs $0.300 per 1M input tokens and $3.00 per 1M output tokens, $0.975 blended (three input tokens per output token).
When was Apodex 1.1 released?
Apodex released Apodex 1.1 on 30 Aug 2026.

Data as of 24 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Apodex 1.1: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/apodex-1-1.