Google: Gemini 3.8 Flash (batch)
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step…
GoogleGemini 3.8 Flash (batch)
google/gemini-3.8-flash:batchIntelligence index
30.8
Artificial Analysis
Coding index
76.3
Artificial Analysis
Agentic index
40.2
Artificial Analysis
Design Arena
1236 Elo · #3
codetovideo · 58.3% wins
Input
$0.38
per 1M tokens
Output
$1.88
per 1M tokens
Cached input
$0.04
per 1M tokens
Context
1.0M
tokens it reads
Max output
66K
tokens it writes
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
inspect — the catalog entry
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"id": "google/gemini-3.8-flash:batch",
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"hugging_face_id": null,
"name": "Google: Gemini 3.8 Flash (batch)",
"created": 1788362056,
"description": "Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.",
"context_length": 1048576,
"architecture": {
"modality": "text+image+file+audio+video->text",
"input_modalities": [
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"output_modalities": [
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"tokenizer": "Gemini",
"instruct_type": null
},
"pricing": {
"prompt": "0.000000375",
"completion": "0.000001875",
"image": "0.000000375",
"audio": "0.000000375",
"input_audio_cache": "0.0000000375",
"web_search": "0.014",
"internal_reasoning": "0.000001875",
"input_cache_read": "0.0000000375",
"input_cache_write": "0.0000000416666666666667"
},
"top_provider": {
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"max_completion_tokens": 65536,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
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"default_parameters": {},
"supported_voices": null,
"knowledge_cutoff": null,
"expiration_date": null,
"links": {
"details": "/api/v1/models/google/gemini-3.8-flash-20260902/endpoints"
},
"endpoints": [
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"benchmarks": {
"design_arena": [
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"rank": 32
},
{
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{
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{
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{
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"win_rate": 54.4,
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{
"arena": "agents",
"category": "pdf",
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"win_rate": 54,
"rank": 11
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{
"arena": "agents",
"category": "python-pptxslides",
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"win_rate": 40.4,
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{
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"category": "spreadsheet",
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"win_rate": 42.2,
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{
"arena": "agents",
"category": "webapps",
"elo": 1226,
"win_rate": 46.9,
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{
"arena": "models",
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"win_rate": 49.8,
"rank": 21
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"win_rate": 51.8,
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{
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"win_rate": 50.4,
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{
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"category": "dataviz",
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"win_rate": 51.5,
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},
{
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{
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},
{
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"category": "uicomponent",
"elo": 1313,
"win_rate": 53,
"rank": 15
},
{
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}
],
"artificial_analysis": {
"intelligence_index": 30.8,
"coding_index": 76.3,
"agentic_index": 40.2
}
},
"reasoning": {
"mandatory": true,
"default_enabled": true,
"supported_efforts": [
"high",
"medium",
"low"
],
"default_effort": "medium"
}
}References (1)
- Stored model catalog — Nov 5, 2026