vCX Benchmark
Models run inside a Retell voice agent on pass or fail checks for business rules, grounding, tool calls and speech-ready replies. Each suite reports its own pass rate.
Retell's board also compares latency and reliability across providers. 15 models in the Fireworks index.
- Made by
- Retell AI
- Kind
- Speech recognition and translation
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
tell-1 tops the leaderboard with 94.5%
Best score per entry 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. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is GPT-6.1 Sol, at 93.3%.
- 94.5 tell-1
- 93.3 GPT-6.1 Sol
- 93.2 GPT-6 Astra
- 92.6
Gemini 4 Argon
- 92.4 GPT-6.1 Terra
- 92.3 GPT-6 Sol
- 92.2 Claude Opus 5.5
- 91.9 GPT-5.5
- 91.2 Claude Sonnet 5.5
- 91.2 Grok Voice 3.0
- 90.6
Gemini 3.8 Flash
- 90.4 Claude Opus 5
- 90.1
Muse Spark 1.3
- 90.1 GPT-5.6 Terra
- 89.6 GPT-5.4
- 89.5 Claude Sonnet 4.6
- 88.8
Gemini 3.7 Flash
- 88.6 GPT-Realtime-1.5
- 87.5 Claude Sonnet 5
- 87.0 Claude Sonnet 4.5
- 87.0
Gemini 3.6 Flash
- 86.9 GPT-5.6 Luna
- 86.0 gpt-realtime
- 85.4 Claude Haiku 5.5
- 84.6 GPT-4.1
- 84.0 GPT-Realtime-2.1
- 83.9 GPT-Realtime-2
- 83.9
Gemini 3 Flash
- 83.2 GPT-5.2
- 82.9 GPT-4.1 mini
- 82.8 Claude Haiku 4.5
- 82.7
Gemini 3.5 Flash-Lite
- 82.6
Gemini 3.1 Flash-Lite
- 82.3 GPT-5
- 81.7
Gemini 3.5 Flash
- 81.5 GPT-5.1
- 80.7 GPT-6 Luna
- 77.9 GPT-5.4 Mini
- 75.0 gpt-realtime-mini
- 75.0 GPT-5 mini
- 74.5 GPT-5.4 Nano
- 64.4 GPT-4.1 nano
- 63.6 GPT-Realtime-2.1 Mini
- 56.4 GPT-5 nano
- 1 tell-1 interleaved; standard 94.5%
- 2 GPT-6.1 Sol low; standard 93.3%
- 3 GPT-6 Astra low; standard 93.2%
- 4
Gemini 4 Argon low; standard 92.6%
- 5 GPT-6.1 Terra none; standard 92.4%
- 6 GPT-6 Sol none; standard 92.3%
- 7 Claude Opus 5.5 low; standard 92.2%
- 8 GPT-5.5 none; standard 91.9%
- 9 Claude Sonnet 5.5 none; standard 91.2%
- 10 Grok Voice 3.0 high; standard 91.2%
- 11
Gemini 3.8 Flash low; standard 90.6%
- 12 Claude Opus 5 none; standard 90.4%
- 13
Muse Spark 1.3 minimal; standard 90.1%
- 14 GPT-5.6 Terra none; standard 90.1%
- 15 GPT-5.4 none; standard 89.6%
- 16 Claude Sonnet 4.6 none; standard 89.5%
- 17
Gemini 3.7 Flash low; standard 88.8%
- 18 GPT-Realtime-1.5 none; standard 88.6%
- 19 Claude Sonnet 5 none; standard 87.5%
- 20 Claude Sonnet 4.5 none; standard 87%
- 21
Gemini 3.6 Flash minimal; standard 87%
- 22 GPT-5.6 Luna none; standard 86.9%
- 23 gpt-realtime none; standard 86%
- 24 Claude Haiku 5.5 none; standard 85.4%
- 25 GPT-4.1 none; standard 84.6%
- 26 GPT-Realtime-2.1 none; standard 84%
- 27 GPT-Realtime-2 none; standard 83.9%
- 28
Gemini 3 Flash minimal; standard 83.9%
- 29 GPT-5.2 none; standard 83.2%
- 30 GPT-4.1 mini none; standard 82.9%
- 31 Claude Haiku 4.5 none; standard 82.8%
- 32
Gemini 3.5 Flash-Lite minimal; standard 82.7%
- 33
Gemini 3.1 Flash-Lite minimal; standard 82.6%
- 34 GPT-5 minimal; standard 82.3%
- 35
Gemini 3.5 Flash minimal; standard 81.7%
- 36 GPT-5.1 none; standard 81.5%
- 37 GPT-6 Luna none; standard 80.7%
- 38 GPT-5.4 Mini none; standard 77.9%
- 39 gpt-realtime-mini none; standard 75%
- 40 GPT-5 mini minimal; standard 75%
- 41 GPT-5.4 Nano none; standard 74.5%
- 42 GPT-4.1 nano none; standard 64.4%
- 43 GPT-Realtime-2.1 Mini none; standard 63.6%
- 44 GPT-5 nano minimal; standard 56.4%
Source: Official vCX Benchmark leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | tell-1 | 94.5% | interleaved; standard, Retell | Official leaderboard | |
| 2 | GPT-6.1 Sol | 93.3% | low; standard, Retell | Sep 2026 | Official leaderboard |
| 3 | GPT-6 Astra | 93.2% | low; standard, Retell | Sep 2026 | Official leaderboard |
| 4 | | 92.6% | low; standard, Retell | Sep 2026 | Official leaderboard |
| 5 | GPT-6.1 Terra | 92.4% | none; standard, Retell | Oct 2026 | Official leaderboard |
| 6 | GPT-6 Sol | 92.3% | none; standard, Retell | Sep 2026 | Official leaderboard |
| 7 | Claude Opus 5.5 | 92.2% | low; standard, Retell | Sep 2026 | Official leaderboard |
| 8 | GPT-5.5 | 91.9% | none; standard, Retell | Apr 2026 | Official leaderboard |
| 9 | Claude Sonnet 5.5 | 91.2% | none; standard, Retell | Sep 2026 | Official leaderboard |
| 10 | Grok Voice 3.0 | 91.2% | high; standard, Retell | Oct 2026 | Official leaderboard |
| 11 | | 90.6% | low; standard, Retell | Sep 2026 | Official leaderboard |
| 12 | Claude Opus 5 | 90.4% | none; standard, Retell | Jul 2026 | Official leaderboard |
| 13 | | 90.1% | minimal; standard, Retell | Sep 2026 | Official leaderboard |
| 14 | GPT-5.6 Terra | 90.1% | none; standard, Retell | Jul 2026 | Official leaderboard |
| 15 | GPT-5.4 | 89.6% | none; standard, Retell | Mar 2026 | Official leaderboard |
| 16 | Claude Sonnet 4.6 | 89.5% | none; standard, Retell | Feb 2026 | Official leaderboard |
| 17 | | 88.8% | low; standard, Retell | Aug 2026 | Official leaderboard |
| 18 | GPT-Realtime-1.5 | 88.6% | none; standard, Retell | Feb 2026 | Official leaderboard |
| 19 | Claude Sonnet 5 | 87.5% | none; standard, Retell | Jun 2026 | Official leaderboard |
| 20 | Claude Sonnet 4.5 | 87% | none; standard, Retell | Sep 2025 | Official leaderboard |
| 21 | | 87% | minimal; standard, Retell | Jul 2026 | Official leaderboard |
| 22 | GPT-5.6 Luna | 86.9% | none; standard, Retell | Jul 2026 | Official leaderboard |
| 23 | gpt-realtime | 86% | none; standard, Retell | Aug 2025 | Official leaderboard |
| 24 | Claude Haiku 5.5 | 85.4% | none; standard, Retell | Oct 2026 | Official leaderboard |
| 25 | GPT-4.1 | 84.6% | none; standard, Retell | Apr 2025 | Official leaderboard |
| 26 | GPT-Realtime-2.1 | 84% | none; standard, Retell | Jul 2026 | Official leaderboard |
| 27 | GPT-Realtime-2 | 83.9% | none; standard, Retell | May 2026 | Official leaderboard |
| 28 | | 83.9% | minimal; standard, Retell | Dec 2025 | Official leaderboard |
| 29 | GPT-5.2 | 83.2% | none; standard, Retell | Dec 2025 | Official leaderboard |
| 30 | GPT-4.1 mini | 82.9% | none; standard, Retell | Apr 2025 | Official leaderboard |
| 31 | Claude Haiku 4.5 | 82.8% | none; standard, Retell | Oct 2025 | Official leaderboard |
| 32 | | 82.7% | minimal; standard, Retell | Jul 2026 | Official leaderboard |
| 33 | | 82.6% | minimal; standard, Retell | Mar 2026 | Official leaderboard |
| 34 | GPT-5 | 82.3% | minimal; standard, Retell | Aug 2025 | Official leaderboard |
| 35 | | 81.7% | minimal; standard, Retell | May 2026 | Official leaderboard |
| 36 | GPT-5.1 | 81.5% | none; standard, Retell | Nov 2025 | Official leaderboard |
| 37 | GPT-6 Luna | 80.7% | none; standard, Retell | Sep 2026 | Official leaderboard |
| 38 | GPT-5.4 Mini | 77.9% | none; standard, Retell | Mar 2026 | Official leaderboard |
| 39 | gpt-realtime-mini | 75% | none; standard, Retell | Official leaderboard | |
| 40 | GPT-5 mini | 75% | minimal; standard, Retell | Aug 2025 | Official leaderboard |
| 41 | GPT-5.4 Nano | 74.5% | none; standard, Retell | Mar 2026 | Official leaderboard |
| 42 | GPT-4.1 nano | 64.4% | none; standard, Retell | Apr 2025 | Official leaderboard |
| 43 | GPT-Realtime-2.1 Mini | 63.6% | none; standard, Retell | Jul 2026 | Official leaderboard |
| 44 | GPT-5 nano | 56.4% | minimal; standard, Retell | Aug 2025 | Official leaderboard |
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
Source: Official vCX Benchmark leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-6.1 Sol | low; standard | Retell | 93.3% | ||
| GPT-6.1 Sol | low; fast | Retell | 93.3% | ||
| GPT-6.1 Sol | low; ultrafast | Retell | 93.3% | ||
| GPT-6 Astra | low; standard | Retell | 93.2% | ||
| GPT-6 Astra | low; fast | Retell | 93.2% | ||
| | low; standard | Retell | 92.6% | ||
| GPT-6.1 Terra | none; standard | Retell | 92.4% | ||
| GPT-6.1 Terra | none; fast | Retell | 92.4% | ||
| GPT-6 Sol | none; standard | Retell | 92.3% | ||
| GPT-6 Sol | none; fast | Retell | 92.3% | ||
| Claude Opus 5.5 | low; standard | Retell | 92.2% | ||
| GPT-5.5 | none; standard | Retell | 91.9% | ||
| GPT-5.5 | none; fast | Retell | 91.9% | ||
| Claude Sonnet 5.5 | none; standard | Retell | 91.2% | ||
| Grok Voice 3.0 | high; standard | Retell | 91.2% | ||
| | low; standard | Retell | 90.6% | ||
| Claude Opus 5 | none; standard | Retell | 90.4% | ||
| | minimal; standard | Retell | 90.1% | ||
| GPT-5.6 Terra | none; standard | Retell | 90.1% | ||
| GPT-5.6 Terra | none; fast | Retell | 90.1% | ||
| GPT-5.4 | none; standard | Retell | 89.6% | ||
| GPT-5.4 | none; fast | Retell | 89.6% | ||
| Claude Sonnet 4.6 | none; standard | Retell | 89.5% | ||
| | low; standard | Retell | 88.8% | ||
| GPT-Realtime-1.5 | none; standard | Retell | 88.6% | ||
| Claude Sonnet 5 | none; standard | Retell | 87.5% | ||
| Claude Sonnet 4.5 | none; standard | Retell | 87% | ||
| | minimal; standard | Retell | 87% | ||
| GPT-5.6 Luna | none; standard | Retell | 86.9% | ||
| GPT-5.6 Luna | none; fast | Retell | 86.9% | ||
| gpt-realtime | none; standard | Retell | 86% | ||
| Claude Haiku 5.5 | none; standard | Retell | 85.4% | ||
| GPT-4.1 | none; standard | Retell | 84.6% | ||
| GPT-4.1 | none; fast | Retell | 84.6% | ||
| GPT-Realtime-2.1 | none; standard | Retell | 84% | ||
| GPT-Realtime-2 | none; standard | Retell | 83.9% | ||
| | minimal; standard | Retell | 83.9% | ||
| GPT-5.2 | none; standard | Retell | 83.2% | ||
| GPT-5.2 | none; fast | Retell | 83.2% | ||
| GPT-4.1 mini | none; standard | Retell | 82.9% | ||
| GPT-4.1 mini | none; fast | Retell | 82.9% | ||
| Claude Haiku 4.5 | none; standard | Retell | 82.8% | ||
| | minimal; standard | Retell | 82.7% | ||
| | minimal; standard | Retell | 82.6% | ||
| GPT-5 | minimal; standard | Retell | 82.3% | ||
| GPT-5 | minimal; fast | Retell | 82.3% | ||
| | minimal; standard | Retell | 81.7% | ||
| GPT-5.1 | none; standard | Retell | 81.5% | ||
| GPT-5.1 | none; fast | Retell | 81.5% | ||
| GPT-6 Luna | none; standard | Retell | 80.7% | ||
| GPT-6 Luna | none; fast | Retell | 80.7% | ||
| GPT-5.4 Mini | none; standard | Retell | 77.9% | ||
| GPT-5.4 Mini | none; fast | Retell | 77.9% | ||
| GPT-5 mini | minimal; standard | Retell | 75% | ||
| GPT-5 mini | minimal; fast | Retell | 75% | ||
| GPT-5.4 Nano | none; standard | Retell | 74.5% | ||
| GPT-4.1 nano | none; standard | Retell | 64.4% | ||
| GPT-Realtime-2.1 Mini | none; standard | Retell | 63.6% | ||
| GPT-5 nano | minimal; standard | Retell | 56.4% |
8 models have held number one on the official leaderboard since 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official vCX Benchmark leaderboard
Gpt-realtime on the official leaderboard passed 85% in August 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official vCX Benchmark 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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