# Rapidata General image — text coherence

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Human pairwise evaluation of text-to-image outputs, measuring text coherence. 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%3Aimage%3Arlb_1RNU9vh78AqXX1
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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

Multimodal · Models tested: 12 · Score publishers: [rapidata](https://www.benchmark.ai/image)

## Model results

| # | Model | Score | ± |  |
| --- | --- | --- | --- | --- |
| 1 | [Seedream 4.5](https://benchize.com/models/seedream-4-5.md) | 1,206.23elo | CI 1,190.11–1,222.35 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1206.2300340449656 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1PeuOYZBaIPPIS sourceModelVersion Seedream 4.5 weighted false ### Reported statistics Uncertainty Confidence interval: 1,190.11–1,222.35 confidenceIntervalLowerOffset 16.117000428019537 confidenceIntervalUpperOffset 16.117000428019537 totalMatches 10062 wins 6254.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label Seedream 4.5 Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/2` |  |  |  |  |
| 2 | [GPT Image 2.5 Sunburst](https://benchize.com/models/gpt-image-2-5-sunburst.md) | 1,165.94elo | CI 1,156.09–1,175.79 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1165.9394970861088 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1Ub5xBI0tHZKcM sourceModelVersion GPT Image 2.5 (Sunburst) weighted false ### Reported statistics Uncertainty Confidence interval: 1,156.09–1,175.79 confidenceIntervalLowerOffset 9.847610384189693 confidenceIntervalUpperOffset 9.847610384189693 totalMatches 26938 wins 16431.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label GPT Image 2.5 (Sunburst) Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/6` |  |  |  |  |
| 3 | [GPT Image 1.5](https://benchize.com/models/gpt-image-1-5-high.md)High | 1,139.47elo | CI 1,123.4–1,155.54 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1139.4715673287653 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1PeuL1z67NKdE6 Reasoning effort high sourceModelVersion GPT Image 1.5 (high) thinkingEnabled true weighted false ### Reported statistics Uncertainty Confidence interval: 1,123.4–1,155.54 confidenceIntervalLowerOffset 16.06861948138726 confidenceIntervalUpperOffset 16.06861948138726 totalMatches 9741 wins 5701.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label GPT Image 1.5 (high) Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/9` |  |  |  |  |
| 4 | [GPT Image 2.5 Flare](https://benchize.com/models/gpt-image-2-5-flare.md) | 1,119.68elo | CI 1,109.95–1,129.42 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1119.6826985679172 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1UamSKYVEFc6ND sourceModelVersion GPT Image 2.5 (Flare) weighted false ### Reported statistics Uncertainty Confidence interval: 1,109.95–1,129.42 confidenceIntervalLowerOffset 9.735996485418127 confidenceIntervalUpperOffset 9.735996485418127 totalMatches 27128 wins 15794 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label GPT Image 2.5 (Flare) Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/10` |  |  |  |  |
| 5 | [FLUX.2 Flex](https://benchize.com/models/flux-2-flex.md) | 1,085.33elo | CI 1,069.4–1,101.27 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1085.333210840529 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1Pety8kReYvYid sourceModelVersion FLUX.2 flex weighted false ### Reported statistics Uncertainty Confidence interval: 1,069.4–1,101.27 confidenceIntervalLowerOffset 15.933820737279575 confidenceIntervalUpperOffset 15.933820737279575 totalMatches 9691 wins 5356 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label FLUX.2 flex Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/12` |  |  |  |  |
| 6 | [FLUX.2 Max](https://benchize.com/models/flux-2-max.md) | 1,057.18elo | CI 1,041.25–1,073.1 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1057.1781956414954 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1PetpMtaBx0dSh sourceModelVersion FLUX.2 max weighted false ### Reported statistics Uncertainty Confidence interval: 1,041.25–1,073.1 confidenceIntervalLowerOffset 15.926318334167718 confidenceIntervalUpperOffset 15.926318334167718 totalMatches 9702 wins 5192.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label FLUX.2 max Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/15` |  |  |  |  |
| 7 | [Flux 2 Pro](https://benchize.com/models/flux-2-pro.md) | 1,044.43elo | CI 1,028.62–1,060.24 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1044.4286093745197 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1PetS5NORduFAr sourceModelVersion FLUX.2 pro weighted false ### Reported statistics Uncertainty Confidence interval: 1,028.62–1,060.24 confidenceIntervalLowerOffset 15.811106579966918 confidenceIntervalUpperOffset 15.81110657996669 totalMatches 9700 wins 5115 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label FLUX.2 pro Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/18` |  |  |  |  |
| 8 | [Nano Banana 2.1](https://benchize.com/models/gemini-nano-banana-2-1.md) | 1,017.46elo | CI 989.84–1,045.08 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1017.4615848952719 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1XDkhTdAbFixop sourceModelVersion nano-banana-2.1 weighted false ### Reported statistics Uncertainty Confidence interval: 989.84–1,045.08 confidenceIntervalLowerOffset 27.621027268940452 confidenceIntervalUpperOffset 27.621027268940452 totalMatches 3198 wins 1650 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label nano-banana-2.1 Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/24` |  |  |  |  |
| 9 | [MAI-Image-2.5](https://benchize.com/models/mai-image-2-5.md) | 998.55elo | CI 982.7–1,014.4 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 998.5471581615816 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1PetshHzWmebbn sourceModelVersion MAI-Image 2.5 weighted false ### Reported statistics Uncertainty Confidence interval: 982.7–1,014.4 confidenceIntervalLowerOffset 15.849217204409456 confidenceIntervalUpperOffset 15.849217204409456 totalMatches 9701 wins 4839 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label MAI-Image 2.5 Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/27` |  |  |  |  |
| 10 | [Grok Imagine Image Quality](https://benchize.com/models/grok-imagine-image-quality.md) | 966.01elo | CI 950.13–981.9 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 966.0124218004289 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1PeuSsHW1ENeLx sourceModelVersion Grok Imagine Image (quality) weighted false ### Reported statistics Uncertainty Confidence interval: 950.13–981.9 confidenceIntervalLowerOffset 15.885603484446506 confidenceIntervalUpperOffset 15.885603484446506 totalMatches 9740 wins 4658.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label Grok Imagine Image (quality) Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/29` |  |  |  |  |
| 11 | [Recraft V4.1 Utility Pro](https://benchize.com/models/recraft-v4-1-utility-pro.md) | 903.35elo | CI 887.42–919.27 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 903.348281524846 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1PetVSiud8YtIo sourceModelVersion Recraft V4.1 Utility Pro weighted false ### Reported statistics Uncertainty Confidence interval: 887.42–919.27 confidenceIntervalLowerOffset 15.926103666060499 confidenceIntervalUpperOffset 15.926103666060499 totalMatches 9741 wins 4282 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label Recraft V4.1 Utility Pro Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/32` |  |  |  |  |
| 12 | [Qwen Image](https://benchize.com/models/qwen-image.md) | 875.94elo | CI 860.26–891.62 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 875.9420780306197 \| elo \| rlb_1RNU9vh78AqXX1 \| Higher is better \| ### Configuration benchmarkId bmk_1Pet6iHzbf6RQu criterion rlb_1RNU9vh78AqXX1 participantId par_1Petln7VHOEQLz sourceModelVersion Qwen-Image weighted false ### Reported statistics Uncertainty Confidence interval: 860.26–891.62 confidenceIntervalLowerOffset 15.682022026666914 confidenceIntervalUpperOffset 15.682022026666914 totalMatches 10235 wins 4376 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1Pet6iHzbf6RQu/standings/query?leaderboard_id%5Beq%5D=rlb_1RNU9vh78AqXX1) Source rapidata Original model label Qwen-Image Source version v1 Observed 2026-10-21T16:37:28.390Z Evidence SHA-256 `3e902908fb67a7e7f6847c980214023674921887f6b58453fab8dd808b0c83ac` Source locator `/items/38` |  |  |  |  |

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Cite as: Rapidata General image — text coherence — Benchize, https://benchize.com/benchmarks/rapidata%3Aimage%3Arlb_1RNU9vh78AqXX1 (retrieved 2026-10-21)
