Gemini 3.8 Flash
- Family
- Gemini 3.8
- Released
- 2026-09-02
- Context
- 1M
- Max output
- 64K
- Knowledge cutoff
- 2026-03
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryRestricted
- Weights
- Not released
- Code
- Unknown
Cheapest of 2 routes · Google AI Studio · cache read $0.075
About
Gemini 3.8 Flash is Google DeepMind's generally available most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows, released September 2, 2026. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for thinking (low/medium/high; minimal is not supported), function calling, tool use, structured outputs, code execution, prompt caching, search grounding, URL context, computer use (preview), and batch, flex, and priority consumption. Official model ID: gemini-3.8-flash. Sibling of live gemini-3.7-flash under a new family gemini-3.8.
Providers(2)
Compare all 2Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| Google AI Studio | $0.750 | $3.75 | $0.375 / $1.88 | read $0.075 | Serverless |
| OpenRouter | $0.750 | $3.75 | $0.375 / $1.88 | read $0.075 | Serverless |
Available via routers & gateways(13)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(7)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| 39.6 | CursorBench 4.0Observed 2026-09-10 | Configuration: Gemini 3.8 Flash High Harness: CursorBench 4.0 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $4.70 Tokens/task: 162,565 Steps/task: 324 Notes: Cursor vendor-reported configuration result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | ||
| 37.3 | CursorBench 4.0Observed 2026-09-10 | Configuration: Gemini 3.8 Flash Medium Harness: CursorBench 4.0 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $4.06 Tokens/task: 128,364 Steps/task: 290 Notes: Cursor vendor-reported configuration result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | ||
| 89.2 | ARC-AGI-2 semi-privateObserved 2026-10-01 | Configuration: gemini-3.8-flash (High) Harness: ARC Prize semi-private evaluation Evaluator: ARC Prize Foundation Confidence: confirmed Notes: ARC Prize official leaderboard data (ARC-AGI-2 semi-private), verified in https://arcprize.org/media/data/leaderboard/v2.json (generatedAt 2026-10-01T18:51Z) for modelDisplayName 'Gemini 3.8 Flash (High)'. Highest-scoring published effort selected. Discovered via Benchmark Heaven / Epoch AI mirror (lead only). | ||
| 73.8 | DeepSWE 1.1Observed 2026-09-22 | Configuration: gemini-3.8-flash (High) Harness: mini-swe-agent (Datacurve DeepSWE 1.1) Evaluator: Datacurve Confidence: confirmed Notes: Datacurve DeepSWE 1.1 leaderboard (113 tasks, mini-swe-agent, Pass@1 over 4 runs). Verified on https://deepswe.datacurve.ai/ (page generated_at 2026-09-22; page shows integer %%). Precise value from Epoch AI mirror deepswe_external.csv (Source column = deepswe.datacurve.ai). Highest-scoring published effort selected. | ||
| 41.2 | FrontierCode 1.1 MainObserved 2026-10-05 | Configuration: gemini-3.8-flash (Medium) Harness: chisel Evaluator: Cognition Confidence: confirmed Notes: Cognition FrontierCode 1.1 Main (100 tasks) mean@5 composite ('new_score'), verified in https://cognition.com/data/frontiercode-leaderboard/data.json (the data file behind https://cognition.com/frontiercode), retrieved 2026-10-05. Agent harness: chisel. Highest-scoring published effort selected; timestamp is retrieval date. | ||
| 22.0 | FrontierMath Tier 4 v2 (private)Observed 2026-09-02 | Configuration: gemini-3.8-flash (High) Harness: Epoch AI FrontierMath Tier 4 v2 private set Evaluator: Epoch AI Confidence: confirmed Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file frontiermath_tier_4_v2.csv, row 'gemini-3.8-flash_high', run started 2026-09-02). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only). | ||
| 95.4 | diamondObserved 2026-09-02 | Configuration: gemini-3.8-flash (High) Harness: Epoch AI Inspect harness (GPQA Diamond, 198 Q) Evaluator: Epoch AI Confidence: confirmed Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file gpqa_diamond.csv, row 'gemini-3.8-flash_high', run started 2026-09-02). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only). |
Migration checks
No linked migration route is available for this model yet.
API versions
gemini-3.8-flashRankings & picks(2)
Cheapest of 2 routes · Google AI Studio · cache read $0.075