GPT-6 Sol vs Gemini 4 Argon

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Model 1

Model 2

Comparison	GPT-6 Sol `gpt-6-sol`	Gemini 4 Argon `gemini-4-argon`
Type	Chat	Chat
Best for	Chat, writing, coding and reasoning tasks	Long-horizon coding, agents and million-token documents
TokenRex price	$2.00 in / $10.00 out per 1M tokens	$2.00 in / $10.00 out per 1M tokens
Cached input / 1M tokens	$0.20 per 1M tokens	$0.10 per 1M tokens
Cache write / 1M tokens	No extra fee	No extra fee
Cached output	Not offered · standard output rate applies	Not offered · standard output rate applies
Market price	$2.00 in / $10.00 out per 1M tokens	$2.00 in / $10.00 out per 1M tokens
Context window (provider)	—	1,048,576 tokens
Input token limit (provider)	Within the context window	Within the context window
Maximum output	—	65,536 tokens
Knowledge cutoff	—	March 2026
Vendor input modalities	Not verified	Text, Image, Audio, Video
Vendor output modalities	Not verified	Text
TokenRex endpoints	POST /v1/chat/completions	POST /v1/chat/completions
Benchmarks
Benchmark evidence	—	19 source-linked results
Vals Index	—	68.9% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
AutomationBench	—	51.3% Self-reported by Google in the Gemini 4 Argon model card (Score), October 2026. Google DeepMind · Gemini 4 Argon model card
Vals Finance Agent v2	—	65.4% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
Harvey's Legal Agent Benchmark	—	19.6% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
DeepSWE v1.1	—	77.9% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
FrontierSWE v2	—	55% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
Vibe Code Bench	—	91.9% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
Terminal-bench 4.0	—	57.4% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
PostTrainBench	—	45.3% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
Terminal-Bench Science 0.1	—	57.6% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
LABBench 2	—	88.8% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
RiemannBench	—	76% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
GraphWalks BFS (up to 128K)	—	99.7% Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026. Google DeepMind · Gemini 4 Argon model card
GraphWalks BFS (256K to 1M)	—	84.2% Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026. Google DeepMind · Gemini 4 Argon model card
Agent's Last Exam	—	39.5% Self-reported by Google in the Gemini 4 Argon model card (Pass rate), October 2026. Google DeepMind · Gemini 4 Argon model card
OSWorld-2.0 (offline subset)	—	69.2% Self-reported by Google in the Gemini 4 Argon model card (Partial score), October 2026. Google DeepMind · Gemini 4 Argon model card
Chartography	—	71.6% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
LVBench	—	91.7% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card
CWE-bench v1	—	68% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card

No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.

— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.

GPT-6 Sol

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

No attributable specifications verified for this exact model yet.

Gemini 4 Argon

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Gemini API · Gemini 4 Argon model specifications
Vendor-reported
Last checked 2026-10-14
Google DeepMind · Gemini 4 Argon model card
Vendor-reported
Last checked 2026-10-14
Google Blog · Introducing Gemini 4 Argon
Vendor-reported
Last checked 2026-10-14

Research notes (2)

Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Standard requests allow up to 65,536 output tokens. Google's long-decode mode (output up to 1,048,576 tokens minus input) is enabled with background=true — the TokenRex chat endpoint accepts this parameter (verified live on 2026-10-14), but a full 1M-token output has not been exercised, so the default 65,536-token output limit is shown.
All benchmark scores are self-reported by Google in the official model card; TokenRex has not re-run them.

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