Gemini 3.8 Flash (High) Intelligence, Performance and Price Analysis

Google's Gemini 3.8 Flash (high), released on September 2, 2026, scores 59 on the Artificial Analysis Intelligence Index, well above the median of 36 for comparable reasoning models, and is priced at $0.75 per 1M input tokens and $3.75 per 1M output tokens, below the medians of $1.75 and $10.00 respectively. The model, which supports text, image, speech, and video input with a 1M token context window, generates output at 304.6 tokens per second, notably faster than the median of 71 tokens per second.

Gemini 3.8 Flash high Intelligence, Performance & Price Analysis Model summary Gemini 3.8 Flash high is amongst the leading models in intelligence and well priced when comparing to other models of similar price. It's also notably fast, however very verbose. The model supports text, image, speech, and video input, outputs text, and has a 1M tokens context window. Gemini 3.8 Flash high scores 59 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 36 . When evaluating the Intelligence Index, it generated 120M tokens, which is very verbose in comparison to the median of 71M. Pricing for Gemini 3.8 Flash high is $0.75 per 1M input tokens competitively priced, median: $1.75 and $3.75 per 1M output tokens competitively priced, median: $10.00 . In total, it cost $825.83 to evaluate Gemini 3.8 Flash high on the Intelligence Index. At 305 tokens per second, Gemini 3.8 Flash high is notably fast 71 . | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text, image, speech, and video | | Output modality | Supports: text | | Context window | 1M ~1500 A4 pages of size 12 Arial font | Metrics are compared against models of the same class: - Non-reasoning models → compared only with other non-reasoning models - Reasoning models → compared across both reasoning and non-reasoning - Open weights models → compared only with other open weights models of the same size class: - Tiny: ≤4B parameters - Small: 4B–40B parameters - Medium: 40B–150B parameters - Large: 150B parameters - Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: - <$0.15 per 1M tokens - $0.15–$1 per 1M tokens - $1 per 1M tokens Highlights Intelligence Artificial Analysis Intelligence Index /evaluations/artificial-analysis-intelligence-index Artificial Analysis Intelligence Index by Open Weights / Proprietary Intelligence Evaluations Agentic real-world work tasks, Elo-500 /2000 Agentic tool use Agentic coding & terminal use Coding Reasoning & knowledge Scientific reasoning Physics reasoning Knowledge 1 - hallucination rate Long context reasoning Agentic knowledge work, Elo Agentic SaaS workflows Legal agentic work, criterion pass rate Agentic business operations Quantitative analysis on spreadsheets & documents Instruction following Long-horizon agentic tasks Kubernetes incident root-cause analysis Visual reasoning AA-Briefcase AA-Briefcase Elo AA-Omniscience AA-Omniscience Index Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Token Use Output Tokens per Intelligence Index Task Cost Cost per Intelligence Index Task Cost to Run Artificial Analysis Intelligence Index Pricing: Cache Hit, Input, and Output Context Window Context Window Speed Measured by Output Speed tokens per second Output Speed Time per Intelligence Index Task Latency Measured by Time seconds to First Token Latency: Time To First Answer Token End-to-End Response Time Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed End-to-End Response Time Frequently Asked Questions Common questions about Gemini 3.8 Flash high Gemini 3.8 Flash high was released on September 2, 2026. Gemini 3.8 Flash high was created by Google. Gemini 3.8 Flash high scores 59 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier median: 36 . Gemini 3.8 Flash high generates output at 304.6 tokens per second based on Google's API , which is well above average compared to other reasoning models in a similar price tier median: 70.8 t/s . Gemini 3.8 Flash high has a time to first token TTFT of 13.39s based on Google's API , which is somewhat higher than average compared to other reasoning models in a similar price tier median: 3.02s . Gemini 3.8 Flash high costs $0.75 per 1M input tokens very competitive, median: $1.75 and $3.75 per 1M output tokens very competitive, median: $10.00 , based on Google's API. Gemini 3.8 Flash high costs $0.75 per 1M input tokens and $3.75 per 1M output tokens based on Google's API . For a blended rate 7:2:1 cache hit/input/output ratio , this is $0.58 per 1M tokens. Pricing may vary by provider. Compare provider pricing /models/gemini-3-8-flash/providers When evaluated on the Intelligence Index, Gemini 3.8 Flash high generated 120M output tokens, which is at the higher end compared to other reasoning models in a similar price tier median: 71M . Yes, Gemini 3.8 Flash high is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. Gemini 3.8 Flash high supports text, image, speech, and video input. Gemini 3.8 Flash high supports text output. Yes, Gemini 3.8 Flash high supports image input and can analyze, describe, and answer questions about images. Yes, Gemini 3.8 Flash high is multimodal. It can process text, image, speech, and video input and generate text output. Gemini 3.8 Flash high has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request. No, Gemini 3.8 Flash high is proprietary. The model weights are not publicly available. Gemini 3.8 Flash high is a proprietary model and Google has not disclosed the model size or parameter count. Gemini 3.8 Flash high achieves a score of 59 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, Gemini 3.8 Flash high is available via API through 1 provider. Compare API providers /models/gemini-3-8-flash/providers Gemini 3.8 Flash high is available through 1 API provider. Compare providers /models/gemini-3-8-flash/providers