Benchmark Almanac

MiMo Visual Coding

GPT-6 Astra 82.2% leads since September 2026
In use

Models build websites from requests and turn reference images into matching front-end code. Tasks include WebDev and Image2Code.

Xiaomi built it in house. The report does not name the grader, so the scoring type is a guess.

Made by
Xiaomi MiMo
Released
September 2026
Kind
Web and app front ends
Level
Expert
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Strongest model tested
GPT-6 Astra #3 on the capability index
Last in a launch post
September 2026
Last model added
September 2026
Scores refreshed
November 12th, 2026
9
Models scored on its own leaderboard
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

GPT-6 Astra leads with 82.2% among models released by September 2026

Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.

The newest model with a score here came out in September 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 GPT-6 Astra 82.2%
  2. 2 Claude Fable 5.1 74.4%
  3. 3 GPT-5.6 Sol 73.4%
  4. 4 MiMo-V2.6 Pro 72.3%
  5. 5 MiMo-V2.6 Flash 71.5%
  6. 6 DeepSeek V4.1 Flash 70.6%
  7. 7 Kimi K3 70.3%
  8. 8 Claude Opus 5 70%
  9. 9 Claude Fable 5 69.1%

Source: Official MiMo Visual Coding leaderboard

#ModelScoreSettingDateSource
1 GPT-6 Astra 82.2% Sep 2026 Official leaderboard
2 Claude Fable 5.1 74.4% Sep 2026 Official leaderboard
3 GPT-5.6 Sol 73.4% Jul 2026 Official leaderboard
4 MiMo-V2.6 Pro 72.3% Sep 2026 Official leaderboard
5 MiMo-V2.6 Flash 71.5% Sep 2026 Official leaderboard
6 DeepSeek V4.1 Flash 70.6% Sep 2026 Official leaderboard
7 Kimi K3 70.3% Jul 2026 Official leaderboard
8 Claude Opus 5 70% Jul 2026 Official leaderboard
9 Claude Fable 5 69.1% Jun 2026 Official leaderboard

Labs report scores for 1 model in their cards. We plot every source in the charts below.

2 models have held number one on the official leaderboard since its release in September 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

Anthropic OpenAI
Own leaderboard Not tested since Sep 2026
GPT-6 Astra 82.2%

Source: Official MiMo Visual Coding leaderboard

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) GPT-6 Astra Claude Fable 5.1 Claude Fable 5 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) GPT-6 Astra Claude Fable 5.1

Sources: Official MiMo Visual Coding leaderboard and labs’ model cards

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Xiaomi Corp
DateLaunch postScoreAs the post writes it
Sep 22, 2026 MiMo-V2.6 Pro 72.3 MiMo Visual Coding

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Sep 22, 2026 MiMo-V2.6 Pro technical report 72.3 MiMo Visual Coding (in-house) (Table 3) Capabilities

One lab claim next to the leaderboard

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.

Model Lab says Board says Gap
MiMo-V2.6 Pro 72.3% MiMo Visual Coding 72.3% Leaderboard Same

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  • LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests. DeepSeek-V4-Pro 93.5%
  • SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Fable 5.2 96.6%
  • DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
  • SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases. Seed2.1 Pro 59.8%
  • Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance. DeepSeek V4.1 Flash 3,471