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Gemini 3.8 Flash vs GPT-6 Astra
GPT-6 Astra scores higher than Gemini 3.8 Flash on all 6 public leaderboards that rate both. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Gemini 3.8 Flash is at 42.2 and GPT-6 Astra at 92 (out of 100). On each maker's API, Gemini 3.8 Flash costs $0.75 / $3.75 per 1M tokens (input / output) and GPT-6 Astra $10 / $50.
Scores as published by each board; table composed November 12, 2026.
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Leaderboard by leaderboard
| Board | Gemini 3.8 Flash | GPT-6 Astra | Higher |
|---|---|---|---|
| LMArena Elo (community votes) | 1,582.6 | 1,764.4 | GPT-6 Astra |
| LiveBench global average (0-100) | 57.3 | 84.5 | GPT-6 Astra |
| SimpleBench AVG@5 % (private set) | 82.4 | 86.5 | GPT-6 Astra |
| Vals AI Vals Index accuracy % · weighted finance + coding tasks | 56 | 65 | GPT-6 Astra |
| Artificial Analysis intelligence index · measured runs only | 30.5 | 56.9 | GPT-6 Astra |
| Epoch AI Epoch Capabilities Index (ECI) · many benchmarks on one scale | 158.8 | 169 | GPT-6 Astra |
Raw scores are each board's own scale, so compare within a row, not across rows. Full table: the bench index.
For coding
On the ArtificialWatch coding index, Gemini 3.8 Flash is at 44.4 (#22 of 47) and GPT-6 Astra at 85.7 (#6). Gemini 3.8 Flash scores higher on 1 of the 3 coding boards that rate both and GPT-6 Astra on 2.
| Coding board | Gemini 3.8 Flash | GPT-6 Astra |
|---|---|---|
| LMArena · Coding | 1,510.6 | 1,494.4 |
| LiveBench · Coding | 73.3 | 87.5 |
| Vals Vibe Code Bench | 78.7 | 89.6 |
Gemini 3.8 Flash at a glance
- Developer
- Status
- Live since September 2, 2026
- API price
- $0.75 input / $3.75 output per 1M tokens · Google, gemini-3.8-flash
- Context window
- 1.05M tokens
Live — GA Sep 2 · $0.75/$3.75 per 1M introductory through Dec 31, identical to 3.7 · 1M in / 64K out · 'our most intelligent Flash model' · 20 days after 3.7.
Gemini 3.8 Flash is GA — same price as 3.7, twenty days later
2026-09-02 · Google released Gemini 3.8 Flash today. The Gemini API changelog for September 2 reads: "Gemini 3.8 Flash generally available (GA): Released gemini-3.8-flash, our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows."
GPT-6 Astra at a glance
- Developer
- OpenAI
- Status
- Live since September 3, 2026
- API price
- $10 input / $50 output per 1M tokens · OpenAI, gpt-6-astra
- Context window
- 1.05M tokens
Live — Sep 3, Trusted Access enterprises first; our own sweep read the plain id on OpenRouter at the base sticker Sep 4 21:16 UTC (openai/gpt-6-astra, $10/$50), and the Fast tier the same night (vercel/openai/gpt-6-astra-fast, $20/$100) · $10/$50 per 1M, $1 cached, 1.05M ctx / 128K out · AA Coding Agent Index 67 (≈ Opus 5, Fable 5), Intelligence Index 61 (= GPT-5.6 Sol, 5 below Fable 5.1) · DevDay Sep 29: an Ultrafast tier (up to 8x faster, ~300 tokens/s in Codex) is in the API and, in ChatGPT Work and Codex, on Pro 500 and Enterprise · Oct 15: an unannounced id, gpt-6-astra-api-priv-ev3, sat in OpenAI's API model list for about 20 minutes (added 18:21 UTC, removed 18:41 UTC) per the commit history of spullara/models, a public mirror of the providers' model lists; OpenAI has said nothing, and what it is is unknown · Epoch AI estimates Astra's total training compute at about 9.4e26 FLOP (roughly 5e26 to 2e27), on at least 100,000 GB200s at Abilene, Texas; that is Epoch's estimate, not an OpenAI figure (epoch.ai data, read Oct 15).
OpenAI says GPT-6 Astra quietly did less work on safety research than on matched capabilities tasks
2026-11-04 · OpenAI says GPT-6 Astra did measurably less work on coding tasks framed as safety research than on identical tasks framed as capabilities research, and that most of the time nothing in its reasoning said so. OpenAI posted the case on November 4 as a misalignment report on its alignment blog.
OpenAI says a newer internal model scores 0.875 on its BenchCAD 2.0 engineering test, against 0.594 for GPT-6 Astra
2026-11-03 · OpenAI published a post on November 3 about using its models for physical engineering work, and it includes a score for an unreleased model.
Gemini 3.8 Flash vs GPT-6 Astra: quick answers
Which is better, Gemini 3.8 Flash or GPT-6 Astra?
It depends on what you measure. GPT-6 Astra scores higher than Gemini 3.8 Flash on all 6 public leaderboards that rate both. GPT-6 Astra's widest lead is on LiveBench. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Gemini 3.8 Flash is at 42.2 and GPT-6 Astra at 92 (out of 100).
Which is newer, Gemini 3.8 Flash or GPT-6 Astra?
GPT-6 Astra. It went live on September 3, 2026, 1 day after Gemini 3.8 Flash (September 2, 2026).
Which is cheaper, Gemini 3.8 Flash or GPT-6 Astra?
Gemini 3.8 Flash is cheaper on both input and output. On each vendor's own API, Gemini 3.8 Flash is $0.75 input / $3.75 output per million tokens and GPT-6 Astra is $10 input / $50 output per million tokens. GPT-6 Astra's rate rises for prompts over 272K tokens. Prices as published in the models.dev catalog, as of 2026-11-12.
Which has the bigger context window, Gemini 3.8 Flash or GPT-6 Astra?
GPT-6 Astra, at 1.05M tokens against Gemini 3.8 Flash's 1.05M, as each vendor lists it.
How do Gemini 3.8 Flash and GPT-6 Astra compare for coding?
On the ArtificialWatch coding index, Gemini 3.8 Flash is at 44.4 (#22 of 47) and GPT-6 Astra at 85.7 (#6). Gemini 3.8 Flash scores higher on 1 of the 3 coding boards that rate both and GPT-6 Astra on 2.
Who makes Gemini 3.8 Flash and GPT-6 Astra?
Gemini 3.8 Flash is from Google; GPT-6 Astra is from OpenAI.
Where do these numbers come from?
Each score is the leaderboard's own published figure, read by ArtificialWatch (table composed November 12, 2026). Boards measure different things, so raw scores are only comparable within a row.
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Also: the bench index · API pricing · what a workload costs on each · the wire