Google's follow-up release uses Gemini 3.5 Flash as the baseline for Gemini 3.6 Flash; differences on DeepSWE, MLE Bench, OSWorld-Verified, and GDPval-AA v2 are official-harness results.
Google Blog · Read evidenceGemini 3.5 Flash · Reviews and evidence
Which Gemini 3.5 Flash conclusions hold up?
Browse public evaluations by topic, source identity, and evidence type. Different versions, tiers, and harnesses are not treated as directly comparable.
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Editorial takeaways
Editorial takeaways
Appwrite Arena's May 20, 2026 run reports freeform rising from 77.5% to 91.9% after loading the Appwrite Skill, showing that documentation context changes agent results.
Appwrite Blog / Appwrite Arena · Read evidenceA Reddit user repeated Gemini 3.5 Flash five times on about ten saved tasks and reported a lower real-task average than an older version; this is a personal field report, not a controlled benchmark.
Reddit / r/GeminiAI · Read evidenceFull reviews and related reading
Selected evidence
Gemini 3.5 Flash: Google's Official Follow-up Release Comparison of Efficiency and Capabilities
Google's follow-up release uses Gemini 3.5 Flash as the baseline for Gemini 3.6 Flash; differences on DeepSWE, MLE Bench, OSWorld-Verified, and GDPval-AA v2 are official-harness results.
- Source-specific observation
- The July 21, 2026 Google release compares Gemini 3.6 Flash with Gemini 3.5 Flash on official tasks.
- Published conditions
- It reports 3.6 ahead of 3.5 on DeepSWE, MLE Bench, OSWorld-Verified, and GDPval-AA v2, without an independent 3.5 rerun harness.
Gemini 3.5 Flash: Appwrite Arena Comparison of Skill Context and Agent Tasks
Appwrite Arena's May 20, 2026 run reports freeform rising from 77.5% to 91.9% after loading the Appwrite Skill, showing that documentation context changes agent results.
Unverified: the original source could not be rechecked.
- Source-specific observation
- Appwrite Arena run dated May 20, 2026, covering freeform, MCP/tools, multimodality, and speed.
- Published conditions
- Skill context raised freeform from 77.5% to 91.9%; the task set and runtime belong to Appwrite Arena.
Gemini 3.5 Flash: A Community Field Report on Ten Saved Tasks and Five Repeated Runs
A Reddit user repeated Gemini 3.5 Flash five times on about ten saved tasks and reported a lower real-task average than an older version; this is a personal field report, not a controlled benchmark.
Unverified: the original source could not be rechecked.
- Source-specific observation
- Collected 2026-08-18; the author describes about ten saved tasks with five runs each but does not publish the full tasks, prompts, snapshot, or scoring script.
- Published conditions
- The runtime is the author's GeminiAI workflow; repeat count and model version are self-reported and not independently rerun.
All sources
All sources
Gemini 3.5 Flash: Google's Official Follow-up Release Comparison of Efficiency and Capabilities
Google's follow-up release uses Gemini 3.5 Flash as the baseline for Gemini 3.6 Flash; differences on DeepSWE, MLE Bench, OSWorld-Verified, and GDPval-AA v2 are official-harness results.
- Source-specific observation
- The July 21, 2026 Google release compares Gemini 3.6 Flash with Gemini 3.5 Flash on official tasks.
- Published conditions
- It reports 3.6 ahead of 3.5 on DeepSWE, MLE Bench, OSWorld-Verified, and GDPval-AA v2, without an independent 3.5 rerun harness.
Gemini 3.5 Flash: Appwrite Arena Comparison of Skill Context and Agent Tasks
Appwrite Arena's May 20, 2026 run reports freeform rising from 77.5% to 91.9% after loading the Appwrite Skill, showing that documentation context changes agent results.
Unverified: the original source could not be rechecked.
- Source-specific observation
- Appwrite Arena run dated May 20, 2026, covering freeform, MCP/tools, multimodality, and speed.
- Published conditions
- Skill context raised freeform from 77.5% to 91.9%; the task set and runtime belong to Appwrite Arena.
Gemini 3.5 Flash: A Community Field Report on Ten Saved Tasks and Five Repeated Runs
A Reddit user repeated Gemini 3.5 Flash five times on about ten saved tasks and reported a lower real-task average than an older version; this is a personal field report, not a controlled benchmark.
Unverified: the original source could not be rechecked.
- Source-specific observation
- Collected 2026-08-18; the author describes about ten saved tasks with five runs each but does not publish the full tasks, prompts, snapshot, or scoring script.
- Published conditions
- The runtime is the author's GeminiAI workflow; repeat count and model version are self-reported and not independently rerun.
Gemini 3.5 Flash
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