Gemini 4 Argon vs Gemini 3.8 Flash
Gemini 4 Argon scores higher on the Models at Work leaderboard (85 vs 77 out of 100). Gemini 3.8 Flash is about 1.3× cheaper per blended million tokens ($1.50 vs $1.99, one figure an Artificial Analysis estimate). On Artificial Analysis' independent Intelligence Index, Gemini 4 Argon leads 53 to 41.
| Gemini 4 Argon · Google | Gemini 3.8 Flash · Google | |
|---|---|---|
| Leaderboard rank | #3 | #12 |
| Score (0–100) | 85 | 77 |
| Tier | Frontier | Fast and cheap |
| Price per 1M tokens | $1.99 blended (estimate) | $0.75 in · $3.75 out |
| Context window | 1M | 1M |
| Open weights | No | No |
| Artificial Analysis Intelligence Index | 53 | 41 |
| Arena text score | 1525 | — |
| Arena Text score | — | 1497 (rank 8) |
| Scale SWE-Bench Pro V2 (mini-swe-agent) | — | 58.80% |
| Best for | Chat and assistant products, Google Cloud shops, Price-sensitive frontier work | Agentic coding on a budget, Frontend generation, High-volume multimodal pipelines |
Choose Gemini 4 Argon if…
- you need chat and assistant products
- you need google cloud shops
- you need price-sensitive frontier work
Wins the popularity contest: first on Arena, mid-pack on the index, and priced like a workhorse.
Caveats: Google's public pricing page did not list Argon when read; the blended figure is Artificial Analysis' estimate.
Choose Gemini 3.8 Flash if…
- you need agentic coding on a budget
- you need frontend generation
- you need high-volume multimodal pipelines
The best cheap model for long-running agent loops: rank 8 on Arena, 128 tok/s, and the only sub-$1 model on Scale's SWE-Bench Pro V2 board. Hallucinates more than Claude-class models and the price doubles in January.
Caveats: $0.75/$3.75 is introductory; Google's pricing page says it goes to $1.50/$7.50 on 2027-01-01. HN users report more hallucination and dropped context between turns than rival models; verify outputs. Third Flash release in six weeks (3.6, 3.7, 3.8). Expect short model lifecycles and deprecation churn.
What practitioners say
Gemini 4 Argon: The announcement thread ran to 1,190 comments; the independent analysis thread was smaller and more measured.
Gemini 3.8 Flash: Huge HN thread (1,160 points, 669 comments). simonw built an HTML visualisation in '13 seconds' for '1.8 cents'; colechristensen calls it 'competitive with opus/fable and also FAST'; several use it as the workhorse model with a stronger planner. The pushback is about reliability: one user says it 'gives me the most hallucinations' of the major models, others complain it ignores context between consecutive messages, and the uneven knowledge cutoff (some domains stuck at early 2025) bites in research tasks.
Questions people ask
Which is better, Gemini 4 Argon or Gemini 3.8 Flash?
Gemini 4 Argon scores higher on the Models at Work leaderboard (85 vs 77 out of 100). Gemini 3.8 Flash is about 1.3× cheaper per blended million tokens ($1.50 vs $1.99, one figure an Artificial Analysis estimate). On Artificial Analysis' independent Intelligence Index, Gemini 4 Argon leads 53 to 41.
When should I choose Gemini 4 Argon over Gemini 3.8 Flash?
Choose Gemini 4 Argon for chat and assistant products, google cloud shops, price-sensitive frontier work. Wins the popularity contest: first on Arena, mid-pack on the index, and priced like a workhorse.
When should I choose Gemini 3.8 Flash over Gemini 4 Argon?
Choose Gemini 3.8 Flash for agentic coding on a budget, frontend generation, high-volume multimodal pipelines. The best cheap model for long-running agent loops: rank 8 on Arena, 128 tok/s, and the only sub-$1 model on Scale's SWE-Bench Pro V2 board. Hallucinates more than Claude-class models and the price doubles in January.
Which is cheaper, Gemini 4 Argon or Gemini 3.8 Flash?
Google does not publish a simple list price for Gemini 4 Argon; Artificial Analysis estimates a blended $1.99 per million tokens (three input to one output). Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens on Google's list price (Gemini API Pricing, read Oct 11, 2026).
Scores come from the Models at Work leaderboard: Score is 0 to 100 and computed, not typed: 55% independent evals (Artificial Analysis, Arena, Scale SEAL, Epoch, each scaled against its natural floor and the best score in this table, then averaged), 15% blended price on a fixed log scale ($0.05 per million is 100, $60 is 0), 15% practitioner sentiment from Signals and community threads, 15% operational fit (context window, open weights). A missing component drops out and the rest are reweighted. A model with no independent eval yet is provisional and ranks below every measured one. Within three points is a tie. Vendor-published figures are labelled and never counted. Prices are vendor list prices where published; blended figures assume three input tokens per output token.