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Qwen-Image-2.1vs.BAGEL-7B-MoT

Which one is better?

In our own test both are on par. BAGEL-7B-MoT has no arena rating yet. Neither has an API price.

Test images

Same task, the first image of each. The task with the biggest difference is preselected.

Qwen-Image-2.1: Infographic, first image from the fixed test run
Qwen-Image-2.183 out of 100
BAGEL-7B-MoT: Infographic, first image from the fixed test run
BAGEL-7B-MoT6 out of 100

Result for “Infographic”:Qwen-Image-2.1 ahead

Prompt given to both modelsCreate a square German infographic titled SO FUNKTIONIERT PHOTOSYNTHESE. Show exactly four numbered steps in this order: 1 LICHT, 2 WASSER, 3 CO₂, 4 ZUCKER + SAUERSTOFF. Use a clean editorial science style with one plant cross-section, simple arrows, high contrast, legible labels, and no other text.

What the rating looks at: Numbers, labels, and visual organization.

“Ahead”: better in all three rating rounds. “Slightly ahead”: a higher value, but not in every round.

Test protocol of the images

Each test attempt uses the same archived prompt and one request. The first output of that attempt counts. Repeats after technical test failures are disclosed for the affected images. Files are normalized to 1,024 × 1,024 pixels without cropping. Provider resolution, randomness, quality tier and prompt processing can still differ. The images are a practical visual test, not a reconstruction of the arena configuration.

Character and detail

Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=1591420783, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, generated Nov 1, 2026, 8:49 AM. Source

BAGEL-7B-MoT: fal, provider-default image size; one output sampled; use_thought=false, one request, first output, seed=1668381318, Fal schema does not expose image size or image count fields, estimated cost $0.100000, generated Nov 2, 2026, 3:22 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Qwen-Image-2.1 image SHA 256: b29bb7e207ad464957ee060bbf0655104bcbece703360254e48daa3ec35a62d7

BAGEL-7B-MoT image SHA 256: f9a99e0e983d8731377afdf880911fc993d516b55c18059fd5cb3390fd01fd31

Infographic

Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=1283422012, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, prior anonymous attempt refused before inference (ZeroGPU quota), completed through authenticated browser, generated Nov 1, 2026, 8:49 AM. Source

BAGEL-7B-MoT: fal, provider-default image size; one output sampled; use_thought=false, one request, first output, seed=1401806471, Fal schema does not expose image size or image count fields, estimated cost $0.100000, generated Nov 2, 2026, 3:23 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Qwen-Image-2.1 image SHA 256: 316e38ed63ff401f86a7ceee9cc65c74413e0e9c7c899a6e6bf453acc2940dac

BAGEL-7B-MoT image SHA 256: fd19fd4a68dfc264705c92209fcf45e3c8be4384c02433888b066683ee57c2ba

Product photography

Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=196359631, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, generated Nov 1, 2026, 8:49 AM. Source

BAGEL-7B-MoT: fal, provider-default image size; one output sampled; use_thought=false, one request, first output, seed=1385391411, Fal schema does not expose image size or image count fields, estimated cost $0.100000, generated Nov 2, 2026, 3:22 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Qwen-Image-2.1 image SHA 256: 041f559d4261865b327fcae4f8bb0bd3b176c55a3b1255a042ab3e0fc4f9bc4b

BAGEL-7B-MoT image SHA 256: e8ef4e099fe8329b2bba090a2b8fee5cf926dfc5f91ad8e8694b4a4c78ab8455

Typography and layout

Qwen-Image-2.1: manual, 1:1, requested and received 1024x1024, one request, first output, Qwen/Qwen-Image-2.1 base, 40 steps, true CFG 1.0, prompt enhancement disabled, no negative prompt, no reference images, seed=158818011, official Space commit 5694809f4c56a4e8c40787b5392cecac36493c5d, generated Nov 1, 2026, 8:49 AM. Source

BAGEL-7B-MoT: fal, provider-default image size; one output sampled; use_thought=false, one request, first output, seed=425487007, Fal schema does not expose image size or image count fields, estimated cost $0.100000, generated Nov 2, 2026, 3:21 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Qwen-Image-2.1 image SHA 256: 4670269190f492154c05e3f18c4eb9e3938910ca1aca32503b6a1ceb16d39b38

BAGEL-7B-MoT image SHA 256: 401dd23a2e6578a4e676d10543a9fea92d94d0f535dee90d6c7a25e56143257a

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,227

Qwen-Image-2.1

Rank 14 of 21

n/a

BAGEL-7B-MoT

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
65

Qwen-Image-2.1

Rank 40 of 108

34

BAGEL-7B-MoT

Rank 76 of 108

Price per imagedollars through the API · lower is better
n/a

Qwen-Image-2.1

no API price

n/a

BAGEL-7B-MoT

no API price

Ranks among the 21 image models with an arena rating and the 108 with a GraduallyBench run; prices compared with 28 models with an API price.

Qwen-Image-2.1

Subscription
No Alibaba subscription includes this model. Through other providers from ≈ €9.54 a month (Krea Basic, with limited credits). 5 plans in Germany.
Via API
No API price known. Access: local, Web app.
License
Open weights, Qwen Research License: non-commercial use only; commercial use requires a separate license.

BAGEL-7B-MoT

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: local, Web app.
License
Open weights.

Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.

Arena rating (LMArena) from Nov 6, 2026 · GraduallyBench from Nov 3, 2026 · Subscription database from Sep 29, 2026 (38 days old)

All data side by side

The better value is bold. For ratings only when the gap is clear.

KennzahlQwen-Image-2.1BAGEL-7B-MoT
Ratings
Arena ratingfrom votes by users, higher is better1,227n/a
Arena rankRank 14 of 21n/a
Arena votesmore votes, a safer rating19,378n/a
GraduallyBenchour own rating, 0 to 1006534
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition5411
Product photographyMaterials, reflections, and fine details9088
Character and detailAnatomy, clothing, and spatial consistency3432
InfographicNumbers, labels, and visual organization836
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedSep 20, 2026May 20, 2025
Weightsopen means: runs locallyopenQwen Research License: non-commercial use only; commercial use requires a separate licenseopen
Accesslocal, Web applocal, Web app
Parametersnot published14 billion
Largest output2Knot consistently published
Plans in Germanynaming exactly this model5n/a

API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.

Sources: Qwen-Image-2.1 model source, status source (verified Sep 22, 2026) · BAGEL-7B-MoT model source (verified Nov 1, 2026)

Arena ratings by category

From blind votes on LMArena. “Ahead” means the lead is clear.

No shared arena score in the stored snapshot

The stored benchmark database contains no measurement for Qwen-Image-2.1 and BAGEL-7B-MoT from the same arena and category. Older model versions are not used as substitutes.

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