Capability
46.6/100
field median 58.1
#154 of 232 ranked models
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Data as of September 4, 2026 · How the score is built
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Multimodal & Grounded ranks #44. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
12 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
46.6/100
field median 58.1
#154 of 232 ranked models
Price
Not listed
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 92 tok/s
Time to first token not measured
Context
256Ktokens
field median 256,000
Maximum output length is tracked separately
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Gemma 4 12B category percentile values
The dashed outline is median of 6 nearest peers.
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersScores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingRank #97 of 183Percentile 47thWeight 20%1 benchmarkVerified | 46.6 | #97 of 183 | 47th | 20% | 1 benchmark | Verified |
| ReasoningRank Not rankedWeight 17%2 benchmarksVerified | 34.0 | Not ranked | Not available | 17% | 2 benchmarks | Verified |
| KnowledgeRank #138 of 181Percentile 24thWeight 12%5 benchmarksVerified | 40.4 | #138 of 181 | 24th | 12% | 5 benchmarks | Verified |
| MathRank Not rankedWeight 5%1 benchmarkVerified | 57.6 | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #44 of 48Percentile 9thWeight 12%3 benchmarksVerified | 26.1 | #44 of 48 | 9th | 12% | 3 benchmarks | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LiveCodeBench v6 | Score72.0% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap21.2 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MRCRv2 | Score43.4% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.6% | Gap50.2 behind | WeightWeighted 20% | Provider exact |
| BBHBIG-Bench Hard | Score53% | Versus best verified row Best verified: Soofi S 30B-A3B · 78.8% | Gap25.8 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProMassive Multitask Language Understanding Professional | Score77.2% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap12.4 behind | WeightWeighted 20% | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score5.2% | Versus best verified row Best verified: Claude Fable 5.1 · 60.9% | Gap55.7 behind | WeightWeighted 10% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score78.8% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap17.2 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score78.8% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap17.2 behind | WeightDisplay only | Provider exact |
| MMMLU | Score83.4% | Versus best verified row Best verified: Interfaze Beta · 90.9% | Gap7.5 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME26AIME 2026 | Score77.5% | Versus best verified row Best verified: GLM-5.2 · 99.2% | Gap21.7 behind | WeightWeighted 25% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score69.1% | Versus best verified row Best verified: Gemini 3.5 Flash · 83.6% | Gap14.5 behind | WeightWeighted 40% | Provider exact |
| MathVision | Score79.7% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap15.5 behind | WeightDisplay only | Provider exact |
| MedXpertQA (MM)MedXpertQA Multimodal | Score48.7% | Versus best verified row Best verified: Qwen3.8 Max · 80.4% | Gap31.7 behind | WeightDisplay only | Provider exact |
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Jun 3, 2026 · you are here
Gemma 4 12BScore 46.6 · Price not listed
12b
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Gemma 4 12B ranks #154 of 232 on the public leaderboard with a score of 46.64/100. It does not yet have enough sourced coverage for a verified position.
Gemma 4 12B is a open weight model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact-value snapshot from Google's June 3, 2026 Gemma 4 12B launch post and Hugging Face model card. BenchLM maps schema-equivalent rows from the published table: MMLU Pro, GPQA Diamond, HLE no tools, LiveCodeBench v6, AIME 2026, BBH, MMMLU, MMMU Pro, MATH-Vision, MedXpertQA MM, and MRCR v2. Codeforces, Tau2 average, OmniDocBench edit distance, and audio rows are not mapped.
Gemma 4 12B sits in the Gemma 4 family with Gemma 4 31B, Gemma 4 26B A4B, Gemma 4 E4B, Gemma 4 E2B. 12 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multimodal & Grounded at #44, while its lowest eligible position is Knowledge at #138. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Google · Model release
Radar confirmed these at the source. Already tracking Gemma 4 12B? See the free Radar Brief for what changes next.
Gemma 4 12B ranks #154 out of 232 models on the public BenchAlign leaderboard, with a score of 46.64/100. Its evidence status is Estimated, and this profile shows 12 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Gemma 4 12B ranks #138 out of 181 eligible models for knowledge and understanding, with a public category score of 40.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Gemma 4 12B ranks #97 out of 183 eligible models for coding and programming, with a public category score of 46.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Gemma 4 12B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Gemma 4 12B has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Gemma 4 12B ranks #44 out of 48 eligible models for multimodal and grounded tasks, with a public category score of 26.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Gemma 4 12B is an open-weight model from Google. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Gemma 4 12B belongs to the Gemma 4 family. Related tracked variants include Gemma 4 31B, Gemma 4 26B A4B, Gemma 4 E4B, plus 1 more. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
No. Gemma 4 12B currently has 27 source-displayable rows across 422 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
Gemma 4 12B has a documented context window of 256K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Related resources
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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