BenchLeader

Apertus 8B Instruct

Apertus 8B Instruct is a Swiss AI open-weights model, released 2 Sept 2025. Its best configuration ranks #731 of 785 on the BenchLeader Index at 37.4 ±4.7, in the lower half. The ± is the point: 196 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 reasoning (41) and lowest in long context (23). At $0.125 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 131 tokens per second puts it faster than most, with a first answer in 3.2 s. Last measured 2 Sept 2025.stale: no new result in six months

Blended price
$0.125/M
$0.100 in · $0.200 out
Output speed
131 tok/s
measured by Artificial Analysis
First answer
3.22 s
first token 3.22 s
Context
66k
Full answer
7.04 s
median, reasoning included
Cost per run
–
Released
2 Sept 2025
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index37
  2. Reasoning41
  3. Agents & tools34
  4. Knowledge27
  5. Instruction following27
  6. Long context23
  7. Composite35

How its index has moved

9 Sept 2026 to 21 Oct 2026
333843

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.

Metadata

Benchmarknot statedSource
AA Openness Indexnot in index88.9#1Artificial Analysis

Reasoning

Benchmarknot statedSource
GPQA Diamond (AA)not in index25.6%#544Artificial Analysis
Humanity's Last Exam (AA)not in index5.0%#459Artificial Analysis
CritPt0.0%#315Artificial Analysis

Agents & tools

Benchmarknot statedSource
Terminal-Bench Hard0.0%#362Artificial Analysis
τ²-Bench Telecom (AA)not in index11.4%#376Artificial Analysis

Instruction following

Benchmarknot statedSource
IFBench22.4%#405Artificial Analysis

Long context

Benchmarknot statedSource
AA-LCR0.0%#493Artificial Analysis

Composite

Benchmarknot statedSource
AA Intelligence Index v4.3.24.8#618Artificial 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$0.0001–5.5 s
Summarize a 30-page report12,000 / 600$0.0013–7.8 s
Code edit6,000 / 1,500$0.0009–14.7 s
Agentic coding session60,000 / 4,000$0.0068–33.8 s
Structured extraction2,000 / 200$0.0002–4.7 s

More from Swiss AI

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See also

Questions people ask

What are Apertus 8B Instruct's benchmark scores?
As of 25 Oct 2026, Apertus 8B Instruct scores 37.4 ±4.7 on the BenchLeader Index, strongest in reasoning (41) and weakest in long context (23). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
How does Apertus 8B Instruct rank?
Apertus 8B Instruct is #731 of 785 ranked configurations on 25 Oct 2026. 196 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 Apertus 8B Instruct cost per 1M tokens?
As of 25 Oct 2026, Apertus 8B Instruct costs $0.100 per 1M input tokens and $0.200 per 1M output tokens, $0.125 blended (three input tokens per output token).
When was Apertus 8B Instruct released?
Swiss AI released Apertus 8B Instruct on 2 Sept 2025.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Apertus 8B Instruct: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/apertus-8b.