Gemini 3.8 Flash

Artificial Analysis gave Gemini 3.7 Flash an intelligence index of 56, which is 4 points higher than 3.6 Flash.

The test covered four vision models: Claude Sonnet 5 (Anthropic), Gemini 3 Flash (Google), Gemini 3.1 Flash-Lite (Google), and GPT-5.4 nano (OpenAI).

Some users found in tests with 3 coding prompts that completion times were consistently in the 30–45 second range, with 3.8 Flash being at most about 5 seconds faster.

The Gemini Flash series faces direct competition from OpenAI's GPT-4o-mini and Anthropic's Claude Haiku.

On the quality-cost Pareto frontier, DeepSeek V4.1 Flash sits at the far upper left, beating models such as Opus 5, Fable 5, GPT 6.1 Soul, Gemini 3.8 Flash, and GLM 5.3 Max.

Genie 4 has Gemini 3.8 Flash handle event planning inside the simulation loop.

Genie 4 brings four major updates: generating more realistic worlds, allowing users to update experiences in real time via natural language prompts, being able to generate audio, and using Gemini 3.8 Flash underneath for support.

On the core leaderboard of 13 visual questions, GPT-6 Astra ranked first with 63 points, while Gemini 3.8 Flash came in last.

GPT-6-Astra scored 2 points but had 2 strikes; Fable 5.1, Gemini 3.8 Flash and GPT-6.1-Sol each scored 1 point and all accumulated 3 strikes.

The participating models included Opus 5.5 and Fable 5.1 accessed via Claude Code, GPT-6-Astra and GPT-6.1-Sol accessed via Codex, and Gemini 4 Argon (High) and Gemini 3.8 Flash (High) accessed via Gemini CLI.

In three war tests, five frontier closed-source models (Grok 4.7, Gemini 3.8 Flash, GPT-6 Luna, Meta Muse Spark, Claude Sonnet 5.5) did not trigger midnight even once.

In the LongMemEval benchmark, when using Gemini 3.8 Flash as the writing model, Hy Memory 2.0.1 answered only 43% of 60 questions correctly, while Aura 1.62.0 answered 95% correctly

Placing the decision model directly in front of Gemini 3.8 Flash yielded only a marginal latency improvement (about 2097 milliseconds vs 2128 milliseconds), because public cloud inference is network-dominated, with WAN round-trip time and TLS negotiation consuming about 1.5 seconds.

Per-token price does not equal per-answer price: Gemini and Mistral have cheap per-token prices, but with an average of as many as 38 steps per question, their per-answer cost is comparable to or even higher than the currently used model.

In Antigravity, a ten-step agent loop takes 7 to 10 minutes under 3.1 Pro and completes in under 90 seconds under 3.8 Flash.

3.8 Flash often introduces regressions when performing large monolithic refactors involving multiple concerns, missing adjacent functions (such as the cart badge update listener) and breaking the error popup handler; the solution is to split the task across multiple files and execute it step by step.

3.8 Flash performs better in IDEs like Antigravity than in bare chat interfaces, because the IDE provides real-time lint feedback, file tree inspection, and terminal test execution as external compensation.

3.8 Flash is reliable at programmatic processing of structured file formats (.xlsx, .docx, complex CSV parsers), with almost zero syntax errors in cell formatting, dynamic formula evaluation, and multi-sheet merging.

In actual testing on the POS reporting automation project, Gemini 3.1 Pro had a single-step latency of 28–45 seconds, consumed about 42% of quota, and failed after 3 refactoring iterations; Gemini 3.8 Flash High had a single-step latency of 3–6 seconds, consumed about 11% of quota, and succeeded on the first try.

When lacking visual references, 3.8 Flash produces conservative Web styling (gray buttons, #0000ff links, Bootstrap-style layouts), but after providing modern UI screenshots or a design token system, its CSS generation quality improves substantially.