Benchmark profile
Flame-VLM-Code
A vision-language coding benchmark for generating correct code from visual and multimodal inputs.
Data verifiedHow BenchLM shows Flame-VLM-Code right now
BenchLM is tracking Flame-VLM-Code in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
Tracked score on Flame-VLM-Code — July 29, 2026
BenchLM mirrors the published tracked score view for Flame-VLM-Code. Claude Opus 4.6 leads the public snapshot at 98.8% , followed by GLM-5V-Turbo (93.8%) and Kimi K2.5 (88.8%). BenchLM does not use these results to rank models overall.
Claude Opus 4.6
Anthropic
claude-opus-4-6
GLM-5V-Turbo
Z.AI
glm-5v-turbo
Kimi K2.5
Moonshot AI
kimi-k2-5
Tracked score table (3 models)
ScoreThe published Flame-VLM-Code snapshot places Claude Opus 4.6 first at 98.8%. The third row is 10.0 points behind. The broader top-10 range is 10.0 points, so the table still separates the published systems.
3 models have been evaluated on Flame-VLM-Code. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. Flame-VLM-Code is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Flame-VLM-Code
Year
2026
Tasks
Multimodal coding tasks
Format
Vision-language code generation
Difficulty
Multimodal coding
BenchLM tracks Flame-VLM-Code as a display-only multimodal coding benchmark reference.
BenchLM freshness & provenance
Version
Flame-VLM-Code 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does Flame-VLM-Code measure?
A vision-language coding benchmark for generating correct code from visual and multimodal inputs.
Which model leads the published Flame-VLM-Code snapshot?
Claude Opus 4.6 currently leads the published Flame-VLM-Code snapshot with 98.8% tracked score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Flame-VLM-Code?
3 AI models are included in BenchLM's mirrored Flame-VLM-Code snapshot, based on the public leaderboard captured on July 29, 2026.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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