# Rapidata Text-to-3D with LLM code — Creativity > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Arlb_1YVqTDVUylKrUp. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Arlb_1YVqTDVUylKrUp. Human pairwise evaluation of llm-to-3d outputs, measuring creativity. 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_1YVqTDVUylKrUp Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Human pairwise evaluation of llm-to-3d outputs, measuring creativity. 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) | 1,841.61elo | CI 1,807.27–1,875.94 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1841.6091816404892 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXvedTGpH53 sourceModelVersion gemini-4-argon weighted false ### Reported statistics Uncertainty Confidence interval: 1,807.27–1,875.94 confidenceIntervalLowerOffset 34.334584647377596 confidenceIntervalUpperOffset 34.334584647377824 totalMatches 4823 wins 4261 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label gemini-4-argon Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/0` | | | | | | 2 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra.md) | 1,380.48elo | CI 1,355.1–1,405.87 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1380.4832545526676 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXvemRZ4Nlp sourceModelVersion gpt-6-astra weighted false ### Reported statistics Uncertainty Confidence interval: 1,355.1–1,405.87 confidenceIntervalLowerOffset 25.384161943711433 confidenceIntervalUpperOffset 25.384161943711433 totalMatches 4837 wins 3397 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label gpt-6-astra Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/1` | | | | | | 3 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash.md) | 1,330.58elo | CI 1,305.43–1,355.74 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1330.583641097671 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXveBCmZ20L sourceModelVersion gemini-3.8-flash weighted false ### Reported statistics Uncertainty Confidence interval: 1,305.43–1,355.74 confidenceIntervalLowerOffset 25.15475155708691 confidenceIntervalUpperOffset 25.15475155708691 totalMatches 4817 wins 3265 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label gemini-3.8-flash Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/2` | | | | | | 4 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol.md) | 1,313.48elo | CI 1,288.55–1,338.4 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1313.4779865423113 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXvfsEuvB3T sourceModelVersion gpt-6.1-sol weighted false ### Reported statistics Uncertainty Confidence interval: 1,288.55–1,338.4 confidenceIntervalLowerOffset 24.923198924817825 confidenceIntervalUpperOffset 24.923198924817825 totalMatches 4838 wins 3238 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label gpt-6.1-sol Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/3` | | | | | | 5 | [Muse Wonder](https://benchize.com/models/muse-wonder.md) | 1,288.1elo | CI 1,263.95–1,312.24 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1288.0955219375594 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXveRslXzKE sourceModelVersion muse-wonder weighted false ### Reported statistics Uncertainty Confidence interval: 1,263.95–1,312.24 confidenceIntervalLowerOffset 24.141067305166644 confidenceIntervalUpperOffset 24.141067305166416 totalMatches 4817 wins 3162 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label muse-wonder Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/4` | | | | | | 6 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5.md) | 1,168.54elo | CI 1,145.21–1,191.88 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1168.5441801131947 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXvedltQA8Z sourceModelVersion claude-opus-5.5 weighted false ### Reported statistics Uncertainty Confidence interval: 1,145.21–1,191.88 confidenceIntervalLowerOffset 23.339010462470924 confidenceIntervalUpperOffset 23.339010462470924 totalMatches 4829 wins 2869 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label claude-opus-5.5 Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/5` | | | | | | 7 | [Grok 4.7](https://benchize.com/models/grok-4-7.md) | 1,071.99elo | CI 1,048.69–1,095.3 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1071.9916870923014 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXved0wJJIV sourceModelVersion grok-4.7 weighted false ### Reported statistics Uncertainty Confidence interval: 1,048.69–1,095.3 confidenceIntervalLowerOffset 23.306451092830912 confidenceIntervalUpperOffset 23.306451092830912 totalMatches 4817 wins 2609 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label grok-4.7 Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/6` | | | | | | 8 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1.md) | 976.95elo | CI 954.18–999.73 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 976.9539359686848 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXvfuPGpmZq sourceModelVersion claude-fable-5.1 weighted false ### Reported statistics Uncertainty Confidence interval: 954.18–999.73 confidenceIntervalLowerOffset 22.775471204491737 confidenceIntervalUpperOffset 22.775471204491737 totalMatches 4838 wins 2368 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label claude-fable-5.1 Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/7` | | | | | | 9 | [DeepSeek V4 Pro](https://benchize.com/models/deepseek-v4-pro.md) | 322.29elo | CI 292.4–352.18 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 322.2941725325677 \| elo \| rlb_1YVqTDVUylKrUp \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVqTDVUylKrUp participantId par_1YVpXvfRUxkGSG sourceModelVersion deepseek-v4-pro weighted false ### Reported statistics Uncertainty Confidence interval: 292.4–352.18 confidenceIntervalLowerOffset 29.88980354798275 confidenceIntervalUpperOffset 29.889803547982865 totalMatches 4838 wins 832 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVqTDVUylKrUp) Source rapidata Original model label deepseek-v4-pro Source version Observed 2026-10-21T16:37:42.177Z Evidence SHA-256 `4ce251bc655221de3fef117b85e05f775323a39098049de2bbfd4835ca2c6293` Source locator `/items/13` | | | | | --- Cite as: Rapidata Text-to-3D with LLM code — Creativity — Benchize, https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Arlb_1YVqTDVUylKrUp (retrieved 2026-10-21)