
Gemini 4 Argon "Retrying (1/9)": Why Large Edits Fail at 60s
Gemini 4 Argon's "Model unavailable, retrying (attempt 1/9)" in Antigravity usually means a big file edit sat silent for 60 s. Stop and edit by line range.

Gemini 4 Argon's "Model unavailable, retrying (attempt 1/9)" in Antigravity usually means a big file edit sat silent for 60 s. Stop and edit by line range.

Start with the exact error and OpenAI's status page. Then check whether the problem follows a browser, network or account; school and work restrictions need the responsible administrator.

Google AI Pro and Ultra both include Gemini 4 Argon in AI Studio, with higher daily quota on Ultra. Gemini app limits use five-hour and weekly windows; API billing is separate.

Gemini API keys are free, but free inference requires an eligible project, model and feature. Check live limits, grounding exceptions, 403s and data-use rules.

Terra's API and Codex rates are half of Sol's, and it ran small Codex tasks twice as fast. At max effort, though, Terra costs more per task than Sol at medium.

As of September 26, 2026, GPT-6 Sol matches Sonnet 5 and Astra matches Fable 5.1 on list price. Prompts over 272K favor Claude; Luna costs a tenth of Haiku 4.5.

Start with Sonnet 5.5 in the Claude apps and Opus 5.5 in the API, move narrow high-volume work to Haiku 5.5, and try Fable 5.1 only when Opus falls short.

Sonnet 5.5 keeps Sonnet 5's $2/$10 token prices. On Artificial Analysis tests it costs less per task from low to xhigh effort and about 51% more at max.

Gemini 3.8 Flash is 2.67x cheaper per token, yet on 11 identical calls at high effort on October 26, 2026 it cost 2.42x as much as Claude Sonnet 5.5.

Sonnet 5.5 beats GPT-6 Astra only at max effort, at a higher cost per task. Astra leads from low to high, ties at xhigh; Sonnet's low rates win on long inputs.

Sonnet 5.5 costs 20x GPT-6 Luna per token and 5–50x per benchmark task. Luna fits volume and long documents; Sonnet fits agentic coding and scores above 38.

Both list at $10/$50 per million tokens, but on October 26, 2026 Fable 5.1 counted 1.45x Astra's tokens for English and cost 1.5–1.6x on tasks both passed.

GPT-6.1 Sol keeps GPT-6 Sol's $2/$10 rates but halves cached input to $0.10. Requests using none effort or Chat Completions tools must change.

GPT-6.1 Sol's launch-week overload is over; most of today's wait is thinking before the first word. Lower the effort first, then try Fast.

Move gpt-6-sol traffic to GPT-6.1 Sol: same price, higher scores at every effort. Run it one level higher to match Astra for 3–5x less; Astra max has no equal.

GPT-6 Astra costs $10 input and $50 output per 1M tokens up to 272K. Caching is on by default; writes cost $12.50 (30 min) or $25 (12 h) as of October 26, 2026.

The current Sol is GPT-6.1 Sol; Luna and Astra are GPT-6, and Terra is GPT-5.6. Compare direct-API rates, then test cost per accepted task before switching.

Kimi K3.1 Pro costs about 14× MiniMax M3.1 Flash per request. Flash holds up on routine, checkable work; K3.1 Pro earns its price on agents and facts.

ModelScope runs a free Qwen-Image-2.1 API once you bind a real-name-verified Alibaba Cloud account. At 1 credit per call, that tops out near 250 calls a day.

Turbo is live on Alibaba Cloud Model Studio at $0.016 per image in Singapore or $0.014133 in the Global regions, 120 RPM per account. Python code included.

Both list $0.15 per 1M input. Off-peak, DeepSeek V4.1 Flash wins on agent loops and short calls; at its weekday peak, GLM-5.3-Flash often costs less.

DeepSeek V4.1 is only Flash and Kimi K3.1 only Pro. In an October 25, 2026 test, both got the 3 graded tasks right; K3.1 Pro cost 12.8× as much, 3× slower.

K3.1 Pro's $2/$10 is half of Opus 5.5's $4/$20 per token, yet at Kimi's default max effort a task can cost as much as Opus. Set effort before you switch.

Both list at $2/$10 per 1M tokens through November 30, 2026, then Argon doubles. K3.1 Pro leads terminal coding and long context; Argon leads factual recall.