# Rapidata Text-to-3D with LLM code — Preference

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Human pairwise evaluation of llm-to-3d outputs, measuring preference. Scores are fitted using the Bradley–Terry preference model and expressed on the publisher’s Elo scale with 95% confidence intervals.

Canonical URL: https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Arlb_1YVpXugYHlm63x
Last updated: Wed, 21 Oct 2026 18:05:10 GMT

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Human pairwise evaluation of llm-to-3d outputs, measuring preference. Scores are fitted using the Bradley–Terry preference model and expressed on the publisher’s Elo scale with 95% confidence intervals.

Multimodal · Models tested: 9 · Score publishers: [rapidata](https://www.benchmark.ai/text-to-3d-code)

## Model results

| # | Model | Score | ± |  |
| --- | --- | --- | --- | --- |
| 1 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon.md) | 1,794.09elo | CI 1,755.84–1,832.33 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1794.0870915055439 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXvedTGpH53 sourceModelVersion gemini-4-argon weighted false ### Reported statistics Uncertainty Confidence interval: 1,755.84–1,832.33 confidenceIntervalLowerOffset 38.24402134101956 confidenceIntervalUpperOffset 38.24402134101956 totalMatches 3614 wins 3061 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label gemini-4-argon Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/0` |  |  |  |  |
| 2 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra.md) | 1,690.55elo | CI 1,662.29–1,718.82 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1690.5526812771686 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXvemRZ4Nlp sourceModelVersion gpt-6-astra weighted false ### Reported statistics Uncertainty Confidence interval: 1,662.29–1,718.82 confidenceIntervalLowerOffset 28.26515151674994 confidenceIntervalUpperOffset 28.26515151674994 totalMatches 5395 wins 4412 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label gpt-6-astra Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/1` |  |  |  |  |
| 3 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol.md) | 1,552.64elo | CI 1,525.65–1,579.62 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1552.6378755261921 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXvfsEuvB3T sourceModelVersion gpt-6.1-sol weighted false ### Reported statistics Uncertainty Confidence interval: 1,525.65–1,579.62 confidenceIntervalLowerOffset 26.98443979841727 confidenceIntervalUpperOffset 26.98443979841727 totalMatches 5227 wins 3990 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label gpt-6.1-sol Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/2` |  |  |  |  |
| 4 | [Muse Wonder](https://benchize.com/models/muse-wonder.md) | 1,439.38elo | CI 1,408.95–1,469.82 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1439.3819424449202 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXveRslXzKE sourceModelVersion muse-wonder weighted false ### Reported statistics Uncertainty Confidence interval: 1,408.95–1,469.82 confidenceIntervalLowerOffset 30.433530567909656 confidenceIntervalUpperOffset 30.433530567909656 totalMatches 3614 wins 2559 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label muse-wonder Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/3` |  |  |  |  |
| 5 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5.md) | 1,357.33elo | CI 1,333.41–1,381.25 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1357.331354192793 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXvedltQA8Z sourceModelVersion claude-opus-5.5 weighted false ### Reported statistics Uncertainty Confidence interval: 1,333.41–1,381.25 confidenceIntervalLowerOffset 23.92149295906097 confidenceIntervalUpperOffset 23.92149295906097 totalMatches 5395 wins 3640.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label claude-opus-5.5 Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/4` |  |  |  |  |
| 6 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash.md) | 1,186.73elo | CI 1,162.34–1,211.12 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1186.7301290713165 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXveBCmZ20L sourceModelVersion gemini-3.8-flash weighted false ### Reported statistics Uncertainty Confidence interval: 1,162.34–1,211.12 confidenceIntervalLowerOffset 24.390498639687166 confidenceIntervalUpperOffset 24.390498639687166 totalMatches 5383 wins 3185.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label gemini-3.8-flash Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/5` |  |  |  |  |
| 7 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1.md) | 1,084.72elo | CI 1,061.06–1,108.38 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1084.7176863182783 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXvfuPGpmZq sourceModelVersion claude-fable-5.1 weighted false ### Reported statistics Uncertainty Confidence interval: 1,061.06–1,108.38 confidenceIntervalLowerOffset 23.661940181908676 confidenceIntervalUpperOffset 23.66194018190845 totalMatches 5226 wins 2840 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label claude-fable-5.1 Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/6` |  |  |  |  |
| 8 | [Grok 4.7](https://benchize.com/models/grok-4-7.md) | 993.24elo | CI 969.94–1,016.55 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 993.2409915007261 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXved0wJJIV sourceModelVersion grok-4.7 weighted false ### Reported statistics Uncertainty Confidence interval: 969.94–1,016.55 confidenceIntervalLowerOffset 23.304284010448214 confidenceIntervalUpperOffset 23.3042840104481 totalMatches 5395 wins 2663.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label grok-4.7 Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/7` |  |  |  |  |
| 9 | [DeepSeek V4 Pro](https://benchize.com/models/deepseek-v4-pro.md) | 197.27elo | CI 166–228.55 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 197.2734708208584 \| elo \| rlb_1YVpXugYHlm63x \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXugYHlm63x participantId par_1YVpXvfRUxkGSG sourceModelVersion deepseek-v4-pro weighted false ### Reported statistics Uncertainty Confidence interval: 166–228.55 confidenceIntervalLowerOffset 31.273349898582865 confidenceIntervalUpperOffset 31.27334989858298 totalMatches 5231 wins 756 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXugYHlm63x) Source rapidata Original model label deepseek-v4-pro Source version Observed 2026-10-21T16:37:43.410Z Evidence SHA-256 `a30cb5e42eb353cd3fadbb4c6519873ad22d3f0528a4e569fbbe40160928d934` Source locator `/items/13` |  |  |  |  |

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Cite as: Rapidata Text-to-3D with LLM code — Preference — Benchize, https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Arlb_1YVpXugYHlm63x (retrieved 2026-10-21)
