Cresta-Bench
Contact-center agents take simulated calls for lending, health and airline lines. Tool calls get deterministic checks and LLM judges grade the rest.
181 test cases across four synthetic agents, each run three times and scored pass^3. 14 models in the Fireworks index. No maker page with details found.
- Made by
- Cresta
- Released
- October 2026
- Kind
- Customer service
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- Claude Opus 5.5 #4 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
Claude Opus 5.5 leads with 82.6%
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 Opus 5.5 low 82.6%
- 2 Claude Sonnet 5.5 low 78%
- 3 GPT-6 Sol none 77.9%
- 4
Gemini 3.8 Flash low 76.1%
- 5 GPT-5.4 none 65.1%
- 6
Gemini 3.6 Flash minimal 50.2%
- 7 GPT-5.2 none 49.5%
- 8
Qwen 3.8 Max none 48.7%
- 9 GLM-5.3 low 43.1%
- 10 GPT-5.6 Luna none 38.8%
- 11 Kimi K3 low 34.9%
- 12 GPT-6 Luna none 32.7%
- 13
DeepSeek V4.1 Flash 1017 none 32.6%
- 14 Claude Haiku 5.5 disabled 20.1%
Source: Official Cresta-Bench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 82.6% | low | Sep 2026 | Official leaderboard |
| 2 | Claude Sonnet 5.5 | 78% | low | Sep 2026 | Official leaderboard |
| 3 | GPT-6 Sol | 77.9% | none | Sep 2026 | Official leaderboard |
| 4 | | 76.1% | low | Sep 2026 | Official leaderboard |
| 5 | GPT-5.4 | 65.1% | none | Mar 2026 | Official leaderboard |
| 6 | | 50.2% | minimal | Jul 2026 | Official leaderboard |
| 7 | GPT-5.2 | 49.5% | none | Dec 2025 | Official leaderboard |
| 8 | | 48.7% | none | Aug 2026 | Official leaderboard |
| 9 | GLM-5.3 | 43.1% | low | Aug 2026 | Official leaderboard |
| 10 | GPT-5.6 Luna | 38.8% | none | Jul 2026 | Official leaderboard |
| 11 | Kimi K3 | 34.9% | low | Jul 2026 | Official leaderboard |
| 12 | GPT-6 Luna | 32.7% | none | Sep 2026 | Official leaderboard |
| 13 | | 32.6% | none | Oct 2026 | Official leaderboard |
| 14 | Claude Haiku 5.5 | 20.1% | disabled | Oct 2026 | Official leaderboard |
Score vs. cost per task
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 | Score | Cost per task |
|---|---|---|---|
| Claude Opus 5.5 | low | 82.6% | $0.34 |
| Claude Sonnet 5.5 | low | 78% | $0.14 |
| GPT-6 Sol | none | 77.9% | $0.11 |
| | low | 76.1% | $0.11 |
| GPT-5.4 | none | 65.1% | $0.11 |
| | minimal | 50.2% | $0.05 |
| GPT-5.2 | none | 49.5% | $0.08 |
| | none | 48.7% | $0.09 |
| GLM-5.3 | low | 43.1% | $0.06 |
| GPT-5.6 Luna | none | 38.8% | $0.01 |
| Kimi K3 | low | 34.9% | $0.14 |
| GPT-6 Luna | none | 32.7% | $0.01 |
| | none | 32.6% | $0.02 |
| Claude Haiku 5.5 | disabled | 20.1% | $0.01 |
The best score, 82.6%, costs $0.34 a task
Runs on the cost frontier score higher than any run that's cheaper. GPT-6 Sol at none comes within 4.6 points of the best for $0.11 a task, 3 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official Cresta-Bench leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| Claude Opus 5.5 | low | 82.6% | $0.34 | ||
| Claude Sonnet 5.5 | low | 78% | $0.14 | ||
| GPT-6 Sol | none | 77.9% | $0.11 | ||
| | low | 76.1% | $0.11 | ||
| GPT-5.4 | none | 65.1% | $0.11 | ||
| | minimal | 50.2% | $0.05 | ||
| GPT-5.2 | none | 49.5% | $0.08 | ||
| | none | 48.7% | $0.09 | ||
| GLM-5.3 | low | 43.1% | $0.06 | ||
| GPT-5.6 Luna | none | 38.8% | $0.01 | ||
| Kimi K3 | low | 34.9% | $0.14 | ||
| GPT-6 Luna | none | 32.7% | $0.006 | ||
| | none | 32.6% | $0.02 | ||
| Claude Haiku 5.5 | disabled | 20.1% | $0.008 |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Cresta-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 Cresta-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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