RWE-bench
Agents do mechanical, electrical and aerospace design tasks, such as a crankshaft, dense PCB routing or turbine-vane cooling, with CAD and CAE tools. A deterministic verifier runs physics solvers and passes a design only if it meets every requirement.
Engineers on the team wrote each task with its verifier and a reference solution. Each model runs in its native harness at max effort. The tasks are never licensed for training. Launch coverage reports 20 tasks and 11 models, with GPT-6 Astra at 37%.
- Made by
- Xplore AI
- Released
- October 2026
- Kind
- CAD models
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- Claude Fable 5.2 #1 on the capability index
- Last model added
- November 2026
- Scores refreshed
- November 12th, 2026
Claude Fable 5.2 leads with 62%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 1 Claude Fable 5.2 max 62%
- 2 GPT-6 Astra max 37%
- 3 Claude Opus 5.5 max 29%
- 4 GPT-6.1 Sol max 25%
- 5
Gemini 4 Carbon high 20%
- 6 GPT-6.1 Terra max 19%
- 7
Gemini 4 Argon high 12%
- 8 Claude Fable 5.1 max 7.00%
- 9 Kimi K3.1 Pro max 1.00%
- 10
Qwen 3.8 Max xhigh 0%
- 11 GLM-5.3 max 0%
- 12
DeepSeek V4.1 Flash max 0%
- 13 Grok 4.7 xhigh 0%
- 14
Muse Wonder max 0%
- 15
Nemotron 3.5 Super VL max 0%
Source: Official RWE-bench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.2 | 62% | max, Claude Code | Nov 2026 | Official leaderboard |
| 2 | GPT-6 Astra | 37% | max, Codex | Sep 2026 | Official leaderboard |
| 3 | Claude Opus 5.5 | 29% | max, Claude Code | Sep 2026 | Official leaderboard |
| 4 | GPT-6.1 Sol | 25% | max, Codex | Sep 2026 | Official leaderboard |
| 5 | | 20% | high, Antigravity | Oct 2026 | Official leaderboard |
| 6 | GPT-6.1 Terra | 19% | max, Codex | Oct 2026 | Official leaderboard |
| 7 | | 12% | high, Gemini CLI | Sep 2026 | Official leaderboard |
| 8 | Claude Fable 5.1 | 7.00% | max, Claude Code | Sep 2026 | Official leaderboard |
| 9 | Kimi K3.1 Pro | 1.00% | max, Kimi Code | Oct 2026 | Official leaderboard |
| 10 | | 0% | xhigh, Qwen Coder | Aug 2026 | Official leaderboard |
| 11 | GLM-5.3 | 0% | max, ZCode | Aug 2026 | Official leaderboard |
| 12 | | 0% | max, DSH | Sep 2026 | Official leaderboard |
| 13 | Grok 4.7 | 0% | xhigh, Grok Build | Sep 2026 | Official leaderboard |
| 14 | | 0% | max, Muse Code | Oct 2026 | Official leaderboard |
| 15 | | 0% | max, OpenHands | Oct 2026 | Official leaderboard |
Average pass rate against cost or time per run
Figure 2 with time on the x axis: each point is one model in its harness, and the Pareto frontier joins the models no other passes more for less time. The line joins the runs that no other run beats on both measures. We redrew this chart from the numbers on the official leaderboard.
| Model | Setting | Average pass rate | Time per run |
|---|---|---|---|
| Claude Fable 5.2 | max, Claude Code | 62% | 19,620 s |
| GPT-6 Astra | max, Codex | 37% | 10,116 s |
| Claude Opus 5.5 | max, Claude Code | 29% | 15,228 s |
| GPT-6.1 Sol | max, Codex | 25% | 11,664 s |
| | high, Antigravity | 20% | 25,668 s |
| GPT-6.1 Terra | max, Codex | 19% | 9,828 s |
| | high, Gemini CLI | 12% | 8,928 s |
| Claude Fable 5.1 | max, Claude Code | 7% | 13,248 s |
| Kimi K3.1 Pro | max, Kimi Code | 1% | 14,652 s |
| | max, DSH | 0% | 7,308 s |
| | max, Muse Code | 0% | 9,756 s |
| Grok 4.7 | xhigh, Grok Build | 0% | 13,356 s |
| | xhigh, Qwen Coder | 0% | 15,696 s |
| GLM-5.3 | max, ZCode | 0% | 16,596 s |
| | max, OpenHands | 0% | 27,252 s |
The best score, 62%, costs $115 a task
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official RWE-bench leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| Claude Fable 5.2 | max | Claude Code | 62% | $115 | 999,000 |
| GPT-6 Astra | max | Codex | 37% | $59 | 358,000 |
| Claude Opus 5.5 | max | Claude Code | 29% | $58 | 739,000 |
| GPT-6.1 Sol | max | Codex | 25% | $10 | 454,000 |
| | high | Antigravity | 20% | $31 | 499,000 |
| GPT-6.1 Terra | max | Codex | 19% | $11 | 554,000 |
| | high | Gemini CLI | 12% | $24 | 359,000 |
| Claude Fable 5.1 | max | Claude Code | 7.00% | $98 | 652,000 |
| Kimi K3.1 Pro | max | Kimi Code | 1.00% | $71 | 548,000 |
| | xhigh | Qwen Coder | 0% | $17 | 349,000 |
| GLM-5.3 | max | ZCode | 0% | $23 | 1,029,000 |
| | max | DSH | 0% | $1.03 | 424,000 |
| Grok 4.7 | xhigh | Grok Build | 0% | $66 | 517,000 |
| | max | Muse Code | 0% | $28 | 644,000 |
| | max | OpenHands | 0% | $2.93 | 983,000 |
2 models have held number one on the official leaderboard since its release in October 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official RWE-bench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official RWE-bench leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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