# Rapidata Text-to-3D with LLM code — Overall preference

> Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Aoverall. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Aoverall.

Human pairwise evaluation of llm-to-3d outputs, measuring overall 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%3Aoverall
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 overall 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) | 1,605.59elo | CI 1,589.32–1,621.86 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1605.5891218218403 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXvedTGpH53 sourceModelVersion gemini-4-argon weighted false ### Reported statistics Uncertainty Confidence interval: 1,589.32–1,621.86 confidenceIntervalLowerOffset 16.266400046822355 confidenceIntervalUpperOffset 16.266400046822582 totalMatches 15664.571376892109 wins 12512.464249481915 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label gemini-4-argon Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/0` |  |  |  |  |
| 2 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra.md) | 1,563.27elo | CI 1,550.03–1,576.51 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1563.273396479865 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXvemRZ4Nlp sourceModelVersion gpt-6-astra weighted false ### Reported statistics Uncertainty Confidence interval: 1,550.03–1,576.51 confidenceIntervalLowerOffset 13.239461901409186 confidenceIntervalUpperOffset 13.239461901409186 totalMatches 21022.199013629226 wins 16502.345586566662 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label gpt-6-astra Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/1` |  |  |  |  |
| 3 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol.md) | 1,458.56elo | CI 1,445.87–1,471.25 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1458.5583569481946 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXvfsEuvB3T sourceModelVersion gpt-6.1-sol weighted false ### Reported statistics Uncertainty Confidence interval: 1,445.87–1,471.25 confidenceIntervalLowerOffset 12.686837032204494 confidenceIntervalUpperOffset 12.686837032204494 totalMatches 20519.13898538155 wins 15158.261733168742 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label gpt-6.1-sol Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/2` |  |  |  |  |
| 4 | [Muse Wonder](https://benchize.com/models/muse-wonder.md) | 1,328.73elo | CI 1,315.15–1,342.31 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1328.730433686338 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXveRslXzKE sourceModelVersion muse-wonder weighted false ### Reported statistics Uncertainty Confidence interval: 1,315.15–1,342.31 confidenceIntervalLowerOffset 13.57831053654104 confidenceIntervalUpperOffset 13.57831053654104 totalMatches 15658.573507069628 wins 10541.751182857473 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label muse-wonder Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/3` |  |  |  |  |
| 5 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5.md) | 1,315.24elo | CI 1,303.66–1,326.82 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1315.2397696535736 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXvedltQA8Z sourceModelVersion claude-opus-5.5 weighted false ### Reported statistics Uncertainty Confidence interval: 1,303.66–1,326.82 confidenceIntervalLowerOffset 11.583332448065448 confidenceIntervalUpperOffset 11.583332448065676 totalMatches 21014.20185386591 wins 14032.30311085952 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label claude-opus-5.5 Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/4` |  |  |  |  |
| 6 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash.md) | 1,107.15elo | CI 1,095.58–1,118.72 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1107.1464986402145 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXveBCmZ20L sourceModelVersion gemini-3.8-flash weighted false ### Reported statistics Uncertainty Confidence interval: 1,095.58–1,118.72 confidenceIntervalLowerOffset 11.56992243960849 confidenceIntervalUpperOffset 11.56992243960849 totalMatches 20966.20185184822 wins 11674.836566029646 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label gemini-3.8-flash Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/5` |  |  |  |  |
| 7 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1.md) | 1,094.31elo | CI 1,083.04–1,105.57 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1094.3053013936735 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXvfuPGpmZq sourceModelVersion claude-fable-5.1 weighted false ### Reported statistics Uncertainty Confidence interval: 1,083.04–1,105.57 confidenceIntervalLowerOffset 11.263039457952573 confidenceIntervalUpperOffset 11.263039457952573 totalMatches 20516.13863018382 wins 11318.21896315892 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label claude-fable-5.1 Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/6` |  |  |  |  |
| 8 | [Grok 4.7](https://benchize.com/models/grok-4-7.md) | 1,000.03elo | CI 988.96–1,011.09 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1000.0260667273956 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXved0wJJIV sourceModelVersion grok-4.7 weighted false ### Reported statistics Uncertainty Confidence interval: 988.96–1,011.09 confidenceIntervalLowerOffset 11.063451789642613 confidenceIntervalUpperOffset 11.063451789642727 totalMatches 21002.206114220942 wins 10449.00197786985 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label grok-4.7 Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/7` |  |  |  |  |
| 9 | [DeepSeek V4 Pro](https://benchize.com/models/deepseek-v4-pro.md) | 366.31elo | CI 352.19–380.44 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 366.31123591389337 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion overall participantId par_1YVpXvfRUxkGSG sourceModelVersion deepseek-v4-pro weighted false ### Reported statistics Uncertainty Confidence interval: 352.19–380.44 confidenceIntervalLowerOffset 14.126113947418503 confidenceIntervalUpperOffset 14.126113947418503 totalMatches 20531.140406172453 wins 3814.0576819249895 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query) Source rapidata Original model label deepseek-v4-pro Source version Observed 2026-10-21T16:37:41.757Z Evidence SHA-256 `048d6dec5a711f63fb70b09a6495cf440b0bf6f34f80156b97832c611e7a2913` Source locator `/items/13` |  |  |  |  |

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