computer-use-preview-2025-03-11: benchmark scores, price and ranking
computer-use-preview-2025-03-11 ranks #286 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.2), based on 1 benchmark results captured up to 2026-10-13.
- Type
- Preview release
- Open weights
- No
- Released
- 2025-03-11 (source: name)
- Context window
- 8,192 tokens
- Cheapest API price
- $3.00 in / $12.00 out per million tokens (via openai, observed 2026-10-13T21:47Z)
- Aggregate rank
- #286 of 743 (score 49.2)
Its cheapest listed input price, $3.00 per million tokens, is lower than that of 11% of the 427 models with a listed price.
computer-use-preview-2025-03-11 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| OSWorld | 31.3% | #4 of 5 | Epoch AI Benchmarking Hub | 2026-10-13 |
About computer-use-preview-2025-03-11
computer-use-preview-2025-03-11 is a preview release. It was released on 2025-03-11, according to the model's own name. It accepts up to 8,192 tokens of input at once. The cheapest API listing we track charges $3.00 per million input tokens and $12.00 per million output tokens, through openai. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where computer-use-preview-2025-03-11 stands
On our aggregate score, computer-use-preview-2025-03-11 is #286 of 743 ranked models, around the middle of the table. Its score is 49.2; the scale is centred on 50, so it sits 0.8 points below the typical model. That beats 62% of the ranked field.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so computer-use-preview-2025-03-11 costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on Muse Wonder (max) ($4.00) and claude-opus-4-5-20251101-thinking-64k-high-effort ($5.00).
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #283 GLM-4.5 Thinking (49.2)
- #284 gemini-2.5-pro_32K (49.2)
- #285 gpt-3.5-turbo-1106 (49.2)
- #287 NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 (49.2)
- #288 Seed-OSS-36B-Base (49.2)
- #289 kimi-k2p5 (49.2)
Compare it on the live leaderboard → · How the aggregate score works