Gemini 4 Argon
Google DeepMind’s Gemini 4 model for long-running coding, knowledge work and multimodal reasoning, initially available to trusted testers and cyber defenders.
Where it stands
Rank compares tracked models with a score. Published shows the source’s rank and field size, when available.
| Benchmark | Score | Rank | Published | Leader | Behind |
|---|---|---|---|---|---|
| Vals IndexVals AI | 68.90% | 1of 33 | 1of 41 | Gemini 4 Argon | — |
| Artificial Analysis Intelligence IndexArtificial Analysis | 53 | 3of 42 | no list read | Claude Opus 5.5 | 5 pts |
| Terminal-Bench 4.0Artificial Analysis | 57.07% | 4of 40 | no list read | Claude Sonnet 5.5 | 6.57 pts |
| Vibe Code Bench v1.1Vals AI | 91.91% | 2of 38 | 2of 106 | Claude Sonnet 5.5 | 0.48 pts |
| ProgramBenchVals AI | 2.50% | 5of 29 | 5of 54 | Claude Opus 5.5 | 16.00 pts |
| Vals RSI IndexVals AI | 30.55% | 4of 20 | 4of 23 | Claude Opus 5.5 | 6.76 pts |
| CUA-benchVals AI | 4.83% | 7of 8 | 7of 8 | GPT-6 Astra | 14.34 pts |
| AutomationBench-AAArtificial Analysis | 77.51% | 1of 40 | no list read | Gemini 4 Argon | — |
| SciCodeArtificial Analysis | 61.81% | 3of 40 | no list read | Claude Opus 5.5 | 5.09 pts |
| GDP.pdfArtificial Analysis | 21.80% | 17of 40 | no list read | GPT-6.1 Sol | 9.20 pts |
| CritPtArtificial Analysis | 27.14% | 11of 42 | no list read | GPT-5.6 Sol | 5.15 pts |
| AA-OmniscienceArtificial Analysis | 42.35 | 5of 42 | no list read | Claude Opus 5.5 | 4.07 |
| AA-LCR v1.1Artificial Analysis | 79.67% | 30of 42 | no list read | Kimi K3 | 9.00 pts |
| ProofBench v1.1Vals AI | 99.00% | 4of 34 | 5of 46 | Claude Sonnet 5.5 | 1.00 pts |
| LegalBenchVals AI | 88.30% | 3of 27 | 3of 149 | Claude Fable 5 | 0.26 pts |
| Harvey's Legal Agent BenchmarkVals AI | 19.58% | 3of 37 | 5of 73 | Muse Spark 1.2 | 5.84 pts |
| MysteryMechanismVals AI | 45.49% | 6of 21 | 6of 21 | GPT-6 Astra | 7.66 pts |
| BioMysteryBenchVals AI | 76.30% | 6of 19 | 6of 21 | Claude Sonnet 5.5 | 4.81 pts |
| Code MigrationVals AI | 68.17% | 2of 37 | 2of 71 | Claude Sonnet 5.5 | 1.66 pts |
| CyberBench v1.1Vals AI | 77.86% | 2of 31 | 2of 43 | GPT-6 Sol | 0.12 pts |
| EMBVals AI | 75.24% | 4of 37 | 4of 69 | Claude Fable 5.1 | 1.43 pts |
| Finance Agent (v2)Vals AI | 65.40% | 1of 37 | 1of 73 | Gemini 4 Argon | — |
| IOIVals AI | 100.00% | 1of 31 | 1of 38 | Gemini 4 Argon | — |
| Legal Research BenchVals AI | 54.81% | 4of 37 | 4of 72 | Muse Spark 1.3 Max | 0.48 pts |
| MedCodeVals AI | 58.80% | 3of 35 | 3of 104 | Claude Opus 5 | 4.77 pts |
| MedScribeVals AI | 87.43% | 13of 36 | 15of 106 | Claude Opus 5.5 | 4.00 pts |
| Public Benefits Bench v1.1Vals AI | 69.76% | 5of 29 | 5of 45 | Claude Opus 5 | 7.17 pts |
| SAGEVals AI | 53.65% | 4of 32 | 5of 90 | Claude Opus 4.7 | 2.45 pts |
| SRE BenchVals AI | 44.27% | 3of 15 | 3of 16 | GPT-6 Astra | 12.60 pts |
| Tax Agent BenchVals AI | 76.23% | 2of 37 | 2of 64 | Claude Fable 5.1 | 1.41 pts |
| GDPval-AA v2.1Artificial Analysis | 1,611.33 | 14of 42 | no list read | Claude Opus 5.5 | 234.84 |
| AA-Briefcase v1.1Artificial Analysis | 1,493.84 | 18of 41 | no list read | Claude Opus 5.5 | 328.01 |
| Humanity's Last ExamArtificial Analysis | 57.09% | 3of 42 | no list read | Claude Opus 5.5 | 4.26 pts |
Nearby on Vals Index
The two models above and below on the Vals Index (Vals AI), on every column where this model has a published number.
| Model | Vals Index | Artificial Analysis Intelligence Index | Terminal-Bench 4.0 | Vibe Code Bench v1.1 | ProgramBench |
|---|---|---|---|---|---|
| Gemini 4 ArgonGoogle | 68.90% | 53 | 57.07% | 91.91% | 2.50% |
| Claude Sonnet 5.5Anthropic | 67.04% | 56 | 63.64% | 92.39% | – |
| Claude Opus 5.5Anthropic | 66.97% | 58 | 59.60% | 90.29% | 18.50% |
Cost and speed, as published
Additional measurements from Artificial Analysis’ own row. Read 1 October 2026.
| As published | Cost per task | Output speed |
|---|---|---|
| Gemini 4 Argon (High) | $1.99 | — |
Results by benchmark
Independent and vendor results retain their own harnesses and effort settings.
| Benchmark | Independent run | As reported by a publisher |
|---|---|---|
| Vals RSI IndexAutonomous research | 30.55%Vals AI | not published |
| CUA-benchComputer use | 4.83%Vals AI | not published |
| LABBench 2Scientific reasoning | no published result | 88.8%LABBench 2Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| RiemannBenchMathematics | no published result | 76.0%RiemannBenchGoogle DeepMind · October 2026Rank 1 of 4 in this publisher table |
| GraphWalks (up to 128k)Long context | no published result | 99.7%GraphWalks (Up to 128k, BFS F1)Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| GraphWalks (256k to 1M)Long context | no published result | 84.2%GraphWalks (256k to 1M, BFS F1)Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| LVBenchVideo understanding | no published result | 91.7%LVBench (no tools)Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| CWE-bench v1Security | no published result | 68.0%CWE-bench v1Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| AutomationBench-AAWorkflow automation | 77.51%Artificial Analysis | not published |
| SciCodeScientific coding | 61.81%Artificial Analysis | not published |
| GDP.pdfDocument reasoning | 21.80%Artificial Analysis | not published |
| CritPtScientific reasoning | 27.14%Artificial Analysis | not published |
| AA-OmniscienceFactual knowledge | 42.35Artificial Analysis | not published |
| AA-LCR v1.1Long-context reasoning | 79.67%Artificial Analysis | not published |
| Terminal-Bench 4.0Agentic coding | 57.07%Artificial Analysis 57.58%Vals AI | 57.4%Terminal-Bench 4.0Google DeepMind · October 2026Rank 4 of 4 in this publisher table |
| Vibe Code Bench v1.1Product coding | 91.91%Vals AI | 91.9%Vibe Code BenchGoogle DeepMind · October 2026Rank 1 of 4 in this publisher table |
| Terminal-Bench Science 0.1Agentic science | 44.29%Vals AI | 57.6%Terminal-Bench Science 0.1Google DeepMind · October 2026Rank 3 of 4 in this publisher table |
| ProgramBenchAgentic coding | 2.50%Vals AI | not published |
| ProofBench v1.1Mathematics | 99.00%Vals AI | not published |
| LegalBenchProfessional knowledge | 88.30%Vals AI | not published |
| Harvey's Legal Agent BenchmarkProfessional knowledge | 19.58%Vals AI | 19.6%Harvey's Legal Agent BenchmarkGoogle DeepMind · October 2026Rank 1 of 4 in this publisher table |
| MysteryMechanismScientific reasoning | 45.49%Vals AI | not published |
| Vals IndexComposite | 68.90%Vals AI | 68.9%Vals IndexGoogle DeepMind · October 2026Rank 1 of 4 in this publisher table |
| BioMysteryBenchAgentic science | 76.30%Vals AI | not published |
| Code MigrationAgentic coding | 68.17%Vals AI | not published |
| CyberBench v1.1Security | 77.86%Vals AI | not published |
| EMBFinancial modelling | 75.24%Vals AI | not published |
| Finance Agent (v2)Financial analysis | 65.40%Vals AI | 65.4%Vals Finance Agent v2Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| IOICompetitive programming | 100.00%Vals AI | not published |
| Legal Research BenchProfessional knowledge | 54.81%Vals AI | not published |
| MedCodeHealthcare administration | 58.80%Vals AI | not published |
| MedScribeHealthcare administration | 87.43%Vals AI | not published |
| Public Benefits Bench v1.1Public services | 69.76%Vals AI | not published |
| SAGEEducation | 53.65%Vals AI | not published |
| SRE BenchSecurity | 44.27%Vals AI | not published |
| Tax Agent BenchProfessional knowledge | 76.23%Vals AI | not published |
| OSWorld 2.0Computer use | no published result | 69.2%OSWorld 2.0 (offline set, partial reward)Google DeepMind · October 2026Rank 2 of 2 in this publisher table |
| AutomationBenchBusiness workflows | no published result | 51.3%AutomationBenchGoogle DeepMind · October 2026Rank 1 of 4 in this publisher table |
| DeepSWE v1.1Software engineering | no published result | 77.9%DeepSWE v1.1Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| GDPval-AA v2.1Knowledge work | 1,611.33Artificial Analysis | not published |
| AA-Briefcase v1.1Knowledge work | 1,493.84Artificial Analysis | not published |
| ChartographyVisual chart recognition | no published result | 71.6%Chartography (no tools)Anthropic · 7 October 2026Rank 1 of 10 in this publisher table 71.6%Chartography (no tools)Google DeepMind · October 2026Rank 1 of 4 in this publisher table |
| Humanity's Last ExamMultidisciplinary reasoning | 57.09%Artificial Analysis | not published |
| Agents' Last ExamComputer use | no published result | 39.5%Agent's Last Exam (binary pass rate)Google DeepMind · October 2026Rank 1 of 3 in this publisher table |
| Artificial Analysis Intelligence IndexComposite | 53Artificial Analysis | not published |
| FrontierSWEAgentic research | no published result | 55.0%FrontierSWE v2Google DeepMind · October 2026Rank 4 of 4 in this publisher table |
| PostTrainBenchAI research | no published result | 45.3%PostTrainBench v1.1Google DeepMind · October 2026Rank 2 of 4 in this publisher table |
Source notes
From the linked sources. Read 1 October 2026.
Restricted access. Announced on 30 September 2026 with phased access for trusted testers and cyber defenders through the Fairwind Program. Broad access for developers, enterprises and consumers has not yet launched in the checked announcement.
Introductory pricing. Google announces $2 per million input tokens and $10 per million output tokens for launch, with cached input discounted by 95%. After the introductory period, prices become $4 / $20; the announcement does not specify when that period ends.
Input context. Vals AI and Artificial Analysis record a 1M-token input context. Google’s checked announcement and evaluation do not state the public API input-context limit.
Evaluator configuration. Vals AI records a 262,144-token maximum output, temperature 1 and high reasoning effort, with $4 / $20 token pricing. These are its evaluation settings; Google’s announcement specifies a 1M-token output limit and introductory $2 / $10 pricing. AA evaluates High effort at the introductory prices. Independent results retain each evaluator’s harness, version and snapshot date.
Evaluation settings. The October 2026 report uses the Gemini API at its highest thinking setting, generally pass@1 with no majority voting or parallel test-time compute. Its 19 results remain attributed to Google DeepMind’s published table, including figures it quotes from external leaderboards.
Sources
Read on 17 October 2026.
- Google announcementblog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/
- Google DeepMind model evaluationstorage.googleapis.com/deepmind-media/gemini/gemini_4_argon_model_evaluation.pdf
- Vals AI model resultswww.vals.ai/models/google_gemini-4-argon
- Artificial Analysis model results (High)artificialanalysis.ai/models/gemini-4-argon