Studio Verdict●
EVIDENCE FOR BETTER CHOICES

Behind the
shortlist.

Selected external evaluations for image, video, and writing tasks. Pair the relevant model result with the features, access route, and cost of your workflow.

Scores belong to a specific task, model version, evaluation pool, and leaderboard setting. Compare within that context; use the original source for the current full table. A model result does not automatically describe every application offering that model.

Image generation & editing

ACCESSED 2026-10-21

Generation and single-image editing answer different questions. Use the model label and quality setting that match the workflow you intend to buy.

Artificial Analysis

GPT Image 2.5 Sunburst (max)

text-to-image

Metric
Quality Elo (AA-Image-T2I v2.1)
Score
1222
Position
1
Uncertainty / range
display: 1222±10; confidence level: 0.95; lower: 1212; upper: 1232; rank range: 1; preliminary: Not shown in this snapshot
Sample
13014
Source updated
Not shown in this snapshot
Captured
2026-10-21
Settings / pool
pool: AA-Image-T2I v2.1; Overall; evaluator pool: Validated private evaluators; blind pairwise preference; generation: Published defaults; highest supported resolution downscaled to 1024×1024; 1:1; one image; seed 42; exact api snapshot: Not shown in this snapshot; quality label: max; sample unit: Comparisons, shown as Samples

A quality-first generation candidate in this tested pool; max setting does not establish a low-cost or low-latency choice.

Catalog match: Named model match; catalog API snapshot is not confirmed by the benchmark.

Model-family reference →
Artificial Analysis

Nano Banana 2.1

text-to-image

Metric
Quality Elo (AA-Image-T2I v2.1)
Score
1176
Position
4
Uncertainty / range
display: 1176±12; confidence level: 0.95; lower: 1164; upper: 1188; rank range: 3–6; preliminary: Not shown in this snapshot
Sample
6210
Source updated
Not shown in this snapshot
Captured
2026-10-21
Settings / pool
pool: AA-Image-T2I v2.1; Overall; evaluator pool: Validated private evaluators; blind pairwise preference; generation: Published defaults; highest supported resolution downscaled to 1024×1024; 1:1; one image; seed 42; exact api snapshot: Not shown in this snapshot; quality label: Not shown in this snapshot; sample unit: Comparisons, shown as Samples

A candidate for budgeted iterations when paired with the catalog’s 1K output price; this result tests text-only generation, not preservation of fourteen references.

Catalog match: Named model match; exact API revision not shown.

Model-family reference →
Arena

Gemini Nano Banana 2.1

text-to-image

Metric
Arena Score; Text-to-Image Overall
Score
1328
Position
6
Uncertainty / range
display: 1328±9; confidence level: Not shown in this snapshot; rank range: 4–6; preliminary: Yes; notes: Page labels confidence-interval plots as bootstrapping; interval confidence level is not stated in the extracted leaderboard.
Sample
5310
Source updated
2026-10-07
Captured
2026-10-21
Settings / pool
evaluator pool: Community prompts and anonymous pairwise preference votes; generation parameters: Not shown in this snapshot; exact api snapshot: Not shown in this snapshot; pool: Text-to-Image Arena; Overall; sample unit: Votes; source date label: Displayed leaderboard date

Preliminary support for shortlisting the named model for text-only drafts; keep separate from AA scores and from editing performance.

Catalog match: Alias/name match to Nano Banana 2.1; API revision and generation settings not disclosed here.

Model-family reference →
Arena

GPT-Image-2.5 Sunburst

single-image editing

Metric
Arena Score; Single Image Edit
Score
1514
Position
1
Uncertainty / range
display: 1514±6; confidence level: Not shown in this snapshot; rank range: 1–1; preliminary: Yes; notes: Page labels confidence-interval plots as bootstrapping; interval confidence level is not stated in the extracted leaderboard.
Sample
82078
Source updated
2026-10-19
Captured
2026-10-21
Settings / pool
evaluator pool: Community prompts and anonymous pairwise preference votes; generation parameters: Not shown in this snapshot; exact api snapshot: Not shown in this snapshot; pool: Image Edit Arena; Single Image Edit; sample unit: Votes; source date label: Displayed leaderboard date

Supports prioritizing this model in a single-image editor trial. It does not evaluate multi-image editing or establish a specific API quality setting.

Catalog match: Named model match after punctuation normalization; do not inherit AA’s max setting or catalog dated snapshot.

Model-family reference →
Evaluation methods & source trail

AA-Image-T2I v2.1 leaderboard ↗

Two selected rows, accessed 2026-10-21. No explicit leaderboard update date found; release dates are not update dates.

Artificial Analysis image methodology ↗

Bradley–Terry preferences on an Elo scale, anchored at FLUX.2 [dev] = 1000. English, curated prompts are balanced across use cases and capabilities and refreshed monthly. Private evaluators are screened. T2I and editing are independent pools. Vote-independence assumptions can narrow intervals when observations correlate.

Arena Text-to-Image Overall leaderboard ↗

Selected row retains Preliminary status and displayed date 2026-10-07. Model generation parameters and interval confidence level were not available in extracted text.

Arena Single Image Edit leaderboard ↗

Selected row retains Preliminary status and displayed date 2026-10-19. This is the single-image task, not multi-image editing.

Image Arena Improvements: New Categories & Quality Filtering ↗

Published and updated 2026-02-09. Describes overlapping task categories and an LLM prompt filter removing about 15% of noisy text-to-image prompts in that update. That historical percentage is not a current sample attrition estimate.

How Arena Works ↗

Users submit prompts, compare two anonymous responses, vote, then see identities. This public community preference pool differs from AA’s screened private evaluators.

Video generation

ACCESSED 2026-10-21

Silent and audio-enabled video use separate evaluation pools. AA defaults target 1080p, 24 fps, ten seconds and 16:9 where supported; model-specific settings and prompt coverage remain important.

Artificial Analysis

FLUX 3

Text-to-video, silent output

Metric
Quality Elo · AA-Video-T2V-Silent v2.1 · Overall
Score
1094
Position
6
Uncertainty / range
confidence: 0.95; lower: 1075; upper: 1113; margin: 19; rank range: 5–7; rounding: Rounded from page data; exact Elo 1093.86, bounds 1074.86–1112.86.
Sample
3103
Source updated
Not shown in this snapshot
Captured
2026-10-21
Settings / pool
profile: aa_video_defaults; pool: AA-Video-T2V-Silent v2.1; audio enabled: No; category: Overall; per model settings: Not separately exposed in the captured row.

A shortlist signal for text-led silent shots, not evidence of image-to-video, editing, or audio quality. This is FLUX 3, not FLUX 3 Max.

Catalog match: FLUX 3 Video is documented in the FLUX family reference.

Model-family reference →
Artificial Analysis

Runway Gen-4.5 (720p)

Text-to-video, silent output

Metric
Quality Elo · AA-Video-T2V-Silent v2.1 · Overall
Score
913
Position
24
Uncertainty / range
confidence: 0.95; lower: 894; upper: 932; margin: 19; rank range: 23–26; rounding: Rounded from page data; exact Elo 912.79, bounds 893.79–931.79.
Sample
2932
Source updated
Not shown in this snapshot
Captured
2026-10-21
Settings / pool
profile: aa_video_defaults; pool: AA-Video-T2V-Silent v2.1; audio enabled: No; category: Overall; resolution: 720p; prompt coverage: AA reports 61% of its text-to-video prompt set, limited to prompts at most 1,000 characters.

Partial prompt coverage limits generalization. Its image-led UI workflow may still fit an approved still; this text-only result does not evaluate that mode.

Catalog match: Exact model and 720p variant match the Runway record.

Model-family reference →
Artificial Analysis

Gemini Omni Flash 1.1

Text-to-video, synchronized audio enabled

Metric
Quality Elo · AA-Video-T2V v2.1 · Overall
Score
1132
Position
9
Uncertainty / range
confidence: 0.95; lower: 1117; upper: 1147; margin: 15; rank range: 7–9; rounding: Visible rendered table; integer display.
Sample
6143
Source updated
Not shown in this snapshot
Captured
2026-10-21
Settings / pool
profile: aa_video_defaults; pool: AA-Video-T2V v2.1; audio enabled: Yes; category: Overall; per model settings: Not separately exposed in the captured row.

Relevant evidence for audiovisual text generation, not a dedicated lip-sync score or proof of conversational-editing quality. Do not compare its Elo with the silent rows.

Catalog match: Exact model gemini-omni-1.1-flash verified in Google documentation and mentioned in the audio article, but absent from catalog; do not link it to the writing-model Gemini record.

Evaluation methods & source trail

Artificial Analysis: AA-Video-T2V-Silent v2.1, Overall ↗

Silent-output pool. Source refresh says September 2026, without an exact update timestamp.

Artificial Analysis: AA-Video-T2V v2.1, Overall, with audio ↗

Gemini row verified against the rendered audio table. Samples is the source column, not a count of unique prompts or evaluators. Rankings can change.

Artificial Analysis video benchmarking methodology ↗

Validated private evaluators make blinded pairwise preferences. Bradley–Terry estimates are reported as Elo; scores refresh hourly. Six task/audio pools are separate: never average or directly compare them. Reported intervals assume independent votes and may understate correlated uncertainty. Silent T2V uses 500 curated prompts; audio T2V uses 1,000. The benchmark is a preference measure, not a universal production-quality guarantee.

Black Forest Labs: FLUX 3 Video ↗

Official workflow evidence for text/image generation, keyframes and video editing.

Runway: Creating with Gen-4.5 ↗

Official 720p text/image workflow; 2–10 seconds, 24/25 fps. Do not infer native audio from this document.

Google: Generate and edit videos with Gemini Omni Flash ↗

Official identifier gemini-omni-1.1-flash; text generation produces audio, while the Interactions API enables conversational editing.

Creative writing

ACCESSED 2026-10-21

Creative-writing preferences help choose a prose candidate. Keep effort settings and uncertainty in view, then pair that signal with the tools needed for your source-to-draft workflow.

Arena

Claude Opus 5.5 (High)

creative-writing

Metric
Arena Score
Score
1520
Position
1
Uncertainty / range
display: ±14; plus minus: 14; confidence level: Not shown in this snapshot; rank spread: 1; 5; preliminary: No
Sample
2241
Source updated
2026-10-20
Captured
2026-10-21
Settings / pool
category: Text / Creative Writing; model effort label: High; style control: Not shown in this snapshot; factuality adjustment: Not shown in this snapshot; adjustment state: unverified; adjustment note: Extraction exposes adjustment choices, not selected state.; temperature: Not shown in this snapshot; system prompt: Not shown in this snapshot

Shortlisting signal; use alongside the requirements of a long-form or brand-writing workflow.

Catalog match: exact model version name match configuration retained

Model-family reference →
Arena

Gemini 4 Argon (High)

creative-writing

Metric
Arena Score
Score
1516
Position
2
Uncertainty / range
display: ±19; plus minus: 19; confidence level: Not shown in this snapshot; rank spread: 1; 7; preliminary: Yes
Sample
1055
Source updated
2026-10-20
Captured
2026-10-21
Settings / pool
category: Text / Creative Writing; model effort label: High; style control: Not shown in this snapshot; factuality adjustment: Not shown in this snapshot; adjustment state: unverified; adjustment note: Extraction exposes adjustment choices, not selected state.; temperature: Not shown in this snapshot; system prompt: Not shown in this snapshot

Shortlisting signal; use alongside the requirements of a long-form or brand-writing workflow.

Catalog match: exact model version name match configuration retained

Model-family reference →
Arena

GPT-6.1 Sol (Max)

creative-writing

Metric
Arena Score
Score
1454
Position
33
Uncertainty / range
display: ±16; plus minus: 16; confidence level: Not shown in this snapshot; rank spread: 14; 72; preliminary: No
Sample
1688
Source updated
2026-10-20
Captured
2026-10-21
Settings / pool
category: Text / Creative Writing; model effort label: Max; style control: Not shown in this snapshot; factuality adjustment: Not shown in this snapshot; adjustment state: unverified; adjustment note: Extraction exposes adjustment choices, not selected state.; temperature: Not shown in this snapshot; system prompt: Not shown in this snapshot

Shortlisting signal; use alongside the requirements of a long-form or brand-writing workflow.

Catalog match: exact model version name match configuration retained

Model-family reference →
Evaluation methods & source trail

Arena: Creative Writing leaderboard ↗

Three selected rows, not a complete ranking. Displayed uncertainty level was not specified in extracted text; no 95% label inferred. Adjustment selection is unknown.

Arena: FAQ ↗

Anonymous paired preferences inform Bradley–Terry ratings. A preference score is not an accuracy percentage.

Arena: Does Style Matter? ↗

Published 2024-08-29; updated 2025-06-13. Models length and markdown features as covariates; observational, not proof that style and quality are causally separated.

Anthropic: Models overview ↗

Verifies claude-opus-5-5; provider default effort is medium, not Arena’s High row.

Google: Gemini 4 Argon ↗

Verifies gemini-4-argon and multimodal inputs.

OpenAI: GPT-6.1 Sol model ↗

Verifies gpt-6.1-sol, max effort support and Responses tools. Default effort is medium, not the Arena Max row.

Choose by task: identify a promising model, confirm the exact version and available controls, then compare the complete workflow cost. Dated source snapshot; new leaderboard releases may change the order.