Gemma 3 27B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Updated 1 h ago · first seen 11 Sept 2026
model_01M294WWJH1DK99QWV9MM48D61
- Context
- 128K tokens
- T2 · 1 h ago
- Released
- 12 Mar 2025
- T2 · 3 h ago
- Knowledge cutoff
- Aug 2024
- T2 · 3 h ago
Specification
- Release date
- 12 Mar 2025
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Status
- deprecated
Source:Artificial AnalysisT2observed 1 h agomedium
- Openness
- open-weights
Source:Artificial AnalysisT2observed 1 h agomedium
- Context window
- 128K tokens
Source:Artificial AnalysisT2observed 1 h agomedium
- Max output
- 118K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Knowledge cutoff
- Aug 2024
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Input modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Tokenizer
- Gemini
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Hugging Face repo
- google/gemma-3-27b-it
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Instruct type
- gemma
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Openrouter id
- google/gemma-3-27b-it
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Supported parameters
- frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
19
Source tiers
T219
Freshest observation
1 h ago
Conflicts
None
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 128K tokens
Source:Artificial AnalysisT2observed 1 h agomedium
- Max output
- 118K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Knowledge cutoff
- Aug 2024
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Tokenizer
- Gemini
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 10.53% | pass^1 | aa_slug=gemma-3-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Aider polyglot | 100% | percent_cases_well_formed | date=2025-03-15 · command=aider --model openrouter/google/gemma-3-27b-it · dirname=2025-03-15-01-21-24--gemma3-27b-or · versions=0.77.1.dev | 15 Mar 2025 | aider.chatT2 |
| Aider polyglot | 4.9% | pass_rate_2 | date=2025-03-15 · command=aider --model openrouter/google/gemma-3-27b-it · dirname=2025-03-15-01-21-24--gemma3-27b-or · versions=0.77.1.dev | 15 Mar 2025 | aider.chatT2 |
| Artificial Analysis Intelligence Index | 4.85 | index | aa_slug=gemma-3-27b · version=4.3 · estimated=false | — | artificialanalysis.aiT2 |
| GPQA | 42.83% | accuracy | aa_slug=gemma-3-27b · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 4.4% | accuracy | aa_slug=gemma-3-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 31.84% | accuracy | aa_slug=gemma-3-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| MMMU-Pro | 48.03% | accuracy | aa_slug=gemma-3-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| SciCode | 23.26% | accuracy | aa_slug=gemma-3-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 0% | accuracy | aa_slug=gemma-3-27b · variant=v4.0 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 3.79% | accuracy | aa_slug=gemma-3-27b · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 4.49% | accuracy | aa_slug=gemma-3-27b · variant=v2.1 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| Google Gemini APIgoogle/gemma-3-27b-it | $0.08 | $0.45 | $0.04 | — | 131.1K | 1 h ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- Google Gemini API
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Openrouter id
Openrouter idopenrouter_id1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| google/gemma-3-27b-it | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Gemma 3 27B scores 4.4% on Humanity's Last Exam
artificial_analysisGemma 3 27B scores 4.85 on Artificial Analysis Intelligence Index
artificial_analysisGemma 3 27B: context length changed from 131072 to 128000
Context window131.1K tokens→128K tokensartificial_analysisGoogle Gemini API lists Gemma 3 27B at $0.08 in / $0.45 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 1 h ago | 1 |
| Aider polyglot leaderboard (data file on GitHub) | raw.githubusercontent.com/Aider-AI/aider/main/aider/website/_data/polyglot_leaderboard.yml | leaderboard | T2· Quality secondary | 1 h ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 1 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.