Gemini 4 Argon
Newgoogle/gemini-4-argon-20261013
Google: Gemini 4 Argon processes audio, file, image, text, and video inputs and outputs text. It has a context length of 1,048,576 tokens and supports tools and reasoning. Input pricing is $2.00 per million tokens, and output pricing is $10.00 per million tokens. It is not an open-weight model.
- tool use
- structured outputs
- reasoning
At a glance
Specifications
What the API gives you
- Context window
- 1.0M tokens
- Max output
- 66K tokens
- Input price
- $2 / 1M tokens
- Output price
- $10 / 1M tokens
- Cache read
- $0.100 / 1M tokens
- Modalities
- audio, file, image, text, video → text
- Knowledge cutoff
- —
- Released
- Sep 30, 2026
Measured evidence
Public benchmark record
- Design Arena Coding
- 1335 Elo2026-10-16
- Design Arena UI
- 1319 Elo2026-10-16
- Design Arena Website
- 1321 Elo2026-10-16
- FACTS Grounding
- 78.6%2026-10-12evaluated 2026-10-12
- FrontierMath Tiers 1-3 (Epoch AI)‡
- 86% ± 2.12026-10-13high effort, evaluated 2026-10-13
- GPQA Diamond (Epoch AI)‡
- 96.4% ± 1.22026-10-13high effort, evaluated 2026-10-13
- LMArena Agent‡
- 13.72026-10-14high effort
- LMArena Agent Bash Recovery‡
- -21.42026-10-08high effort
- LMArena Agent Steerability‡
- 16.82026-10-14high effort
- LMArena Agent Task Outcome‡
- 14.62026-10-14high effort
- LMArena Agent Tool Hallucination‡
- 02026-10-14high effort
- LMArena Creative Writing‡
- 1527 Elo2026-10-15high effort
- LMArena Instruction Following‡
- 1536 Elo2026-10-15high effort
- LMArena Long Query‡
- 1546 Elo2026-10-15high effort
- LMArena Math‡
- 1536 Elo2026-10-15high effort
- LMArena Text‡
- 1524 Elo2026-10-15high effort
- LMArena Text Factuality‡
- 1511 Elo2026-10-15high effort
- LMArena WebDev
- 1678 Elo2026-10-13
- OTIS Mock AIME (Epoch AI)‡
- 100% ± 02026-10-13high effort, evaluated 2026-10-13
- SimpleQA Verified (Epoch AI)‡
- 76% ± 1.42026-10-13high effort, evaluated 2026-10-13
LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference. ‡ Submitted scaffold plus model result. Compare the harness and effort settings, not only the model name.
Task evidence
How broad is the support?
Each status is exact to this model version and the selected task. Official release claims remain provisional.
- Best LLM for Frontend & UIEstablished evidence
82% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for Grounded RAGEstablished evidence
62% of intended weighted task evidence across 3 independent sources. 5 of 7 configured evaluation feeds currently have results.
- Best LLM for a General AssistantEstablished evidence
59% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for Competition MathEstablished evidence
56% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for Logic & Problem SolvingEstablished evidence
55% of intended weighted task evidence across 2 independent sources. 5 of 5 configured evaluation feeds currently have results.
- Best LLM for Math & ReasoningEstablished evidence
52% of intended weighted task evidence across 4 independent sources. 7 of 7 configured evaluation feeds currently have results.
Show all 39 tasks
- Best LLM for Document SummarizationEstablished evidence
45% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.
- Best LLM for SummarizationEstablished evidence
45% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.
- Best LLM for RAG & Long ContextEstablished evidence
44% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.
- Best LLM for CodingEstablished evidence
36% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.
- Best LLM for Business WritingProvisional evidence
67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Marketing CopyProvisional evidence
67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Chat & RoleplayProvisional evidence
67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Roleplay & CharacterProvisional evidence
67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Creative WritingProvisional evidence
56% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for WritingProvisional evidence
56% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Tool & Function CallingProvisional evidence
38% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Search. 6 of 7 configured evaluation feeds currently have results.
- Best LLM for Code CompletionProvisional evidence
36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 3 of 3 configured evaluation feeds currently have results.
- Best LLM for Hermes AgentProvisional evidence
29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for OpenHandsProvisional evidence
29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for GooseProvisional evidence
29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for OpenClawProvisional evidence
29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.
- Best Open-Weight LLM for Self-HostingProvisional evidence
27% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for AI AgentsProvisional evidence
25% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LiveBench Agentic Coding. 9 of 9 configured evaluation feeds currently have results.
- Best Value LLMProvisional evidence
25% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for Autonomous AgentsProvisional evidence
22% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Agentic Coding or OSWorld Verified. 6 of 6 configured evaluation feeds currently have results.
- Best Local LLM for CodingProvisional evidence
21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Massive ContextProvisional evidence
20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or LongBench v2. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for Agentic CodingProvisional evidence
19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Design Arena Full-stack or Design Arena Web-apps. 7 of 7 configured evaluation feeds currently have results. Official release evidence is also tracked provisionally.
- Best LLM for Debugging & Code ReviewProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 5 of 5 configured evaluation feeds currently have results.
- Best LLM for Fast SummariesProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for Literary TranslationProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for Everyday TranslationProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for TranslationProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for Computer & Browser UseProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or OSWorld Verified. 3 of 3 configured evaluation feeds currently have results.
- Best LLM for JSON & Schema OutputProvisional evidence
12% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LiveBench Data Analysis. 3 of 4 configured evaluation feeds currently have results.
- Best LLM for Structured Data ExtractionProvisional evidence
12% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LiveBench Data Analysis. 3 of 4 configured evaluation feeds currently have results.
- Best Cheap LLM for High VolumeProvisional evidence
10% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.
- Cheapest Capable LLMProvisional evidence
10% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.
Official release evidence · provisional
What the launch material actually says
Verbatim claims from the model provider. These help on launch day but do not count as independent confirmation.
“Argon also brings major improvements in coding, so we're making it easier to switch between chatting and coding with Google Antigravity's agentic coding interface now available directly in the Gemini macOS app.”
Google · Gemini 4 Argon is now available in the Gemini app
Recommendation coverage
Where this model appears
- #1Best LLM for Summarization
- #1Best LLM for Document Summarization
- #1Best LLM for a General Assistant
- #1Best LLM for RAG & Long Context
- #1Best LLM for Logic & Problem Solving
- #1Best LLM for Grounded RAG
- #2Best LLM for Tool & Function Calling
- #2Best LLM for Massive Context
- #3Best LLM for Math & Reasoning
- #3Best LLM for Competition Math
- #4Best LLM for Computer & Browser Use
- #5Best LLM for Coding
- #7Best LLM for Frontend & UI
Compare head to head
Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.