Gemini 2.0 Flash
Proprietary CommercialDeveloped by Google · Released 2025-01-01
What are the token costs and operational benchmarks for Gemini 2.0 Flash?
Architectural Overview
Frontier foundation model developed by Google featuring Multimodal Transformer architecture.
Optimal Production Use Cases
Ultra-low-latency real-time multimodal agents, live streaming audio/video analysis, and high-volume document extraction.
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens.
Estimated Monthly Spend
$0.1/1M in · $0.4/1M out
$0.18/1M in · $0.72/1M out
Head-to-Head Comparisons Involving Gemini 2.0 Flash
Gemini 2.0 Flash vs Claude 3.5 Haiku
Gemini 2.0 Flash is 87.5% cheaper for input tokens ($0.10 vs. $0.80 per 1M tokens) and $0.40 vs. $4.00 for output tokens (8.0x cost difference). In terms of operational performance, Claude 3.5 Haiku delivers faster response latency with 140ms TTFT (240ms faster than Gemini 2.0 Flash). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 40.6% for Claude 3.5 Haiku.
Gemini 2.0 Flash vs Claude 3.5 Sonnet
Gemini 2.0 Flash is 96.7% cheaper for input tokens ($0.10 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (30.0x cost difference). In terms of operational performance, Claude 3.5 Sonnet delivers faster response latency with 320ms TTFT (60ms faster than Gemini 2.0 Flash). Claude 3.5 Sonnet leads coding benchmarks at 63.7% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Claude 3.7 Sonnet
Gemini 2.0 Flash is 96.7% cheaper for input tokens ($0.10 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (30.0x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (270ms faster than Claude 3.7 Sonnet). Claude 3.7 Sonnet leads coding benchmarks at 70.3% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Claude Opus 5
Gemini 2.0 Flash is 98.0% cheaper for input tokens ($0.10 vs. $5.00 per 1M tokens) and $0.40 vs. $25.00 for output tokens (50.0x cost difference). In terms of operational performance, Claude Opus 5 delivers faster response latency with 340ms TTFT (40ms faster than Gemini 2.0 Flash). Claude Opus 5 leads coding benchmarks at 82.4% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Codestral 25.01
Gemini 2.0 Flash is 66.7% cheaper for input tokens ($0.10 vs. $0.30 per 1M tokens) and $0.40 vs. $0.90 for output tokens (3.0x cost difference). In terms of operational performance, Codestral 25.01 delivers faster response latency with 150ms TTFT (230ms faster than Gemini 2.0 Flash). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 44.2% for Codestral 25.01.
Gemini 2.0 Flash vs Composer 2.5
Gemini 2.0 Flash is 94.4% cheaper for input tokens ($0.10 vs. $1.80 per 1M tokens) and $0.40 vs. $7.20 for output tokens (18.0x cost difference). In terms of operational performance, Composer 2.5 delivers faster response latency with 180ms TTFT (200ms faster than Gemini 2.0 Flash). Composer 2.5 leads coding benchmarks at 74.6% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs DeepSeek-R1
Gemini 2.0 Flash is 81.8% cheaper for input tokens ($0.10 vs. $0.55 per 1M tokens) and $0.40 vs. $2.19 for output tokens (5.5x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (1420ms faster than DeepSeek-R1). DeepSeek-R1 leads coding benchmarks at 49.2% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs DeepSeek-V3
Gemini 2.0 Flash is 28.6% cheaper for input tokens ($0.10 vs. $0.14 per 1M tokens) and $0.40 vs. $0.28 for output tokens (1.4x cost difference). In terms of operational performance, DeepSeek-V3 delivers faster response latency with 340ms TTFT (40ms faster than Gemini 2.0 Flash). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 42.0% for DeepSeek-V3.
Gemini 2.0 Flash vs DeepSeek-V4 Flash
Gemini 2.0 Flash is 28.6% cheaper for input tokens ($0.10 vs. $0.14 per 1M tokens) and $0.40 vs. $0.56 for output tokens (1.4x cost difference). In terms of operational performance, DeepSeek-V4 Flash delivers faster response latency with 150ms TTFT (230ms faster than Gemini 2.0 Flash). DeepSeek-V4 Flash leads coding benchmarks at 62.4% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Fable 5
Gemini 2.0 Flash is 95.0% cheaper for input tokens ($0.10 vs. $2.00 per 1M tokens) and $0.40 vs. $8.00 for output tokens (20.0x cost difference). In terms of operational performance, Fable 5 delivers faster response latency with 240ms TTFT (140ms faster than Gemini 2.0 Flash). Fable 5 leads coding benchmarks at 58.0% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Gemini 3.7 Flash
Gemini 3.7 Flash is 20.0% cheaper for input tokens ($0.08 vs. $0.10 per 1M tokens) and $0.32 vs. $0.40 for output tokens (1.2x cost difference). In terms of operational performance, Gemini 3.7 Flash delivers faster response latency with 75ms TTFT (305ms faster than Gemini 2.0 Flash). Gemini 3.7 Flash leads coding benchmarks at 68.2% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs GLM 5.3 Flash
Gemini 2.0 Flash is 33.3% cheaper for input tokens ($0.10 vs. $0.15 per 1M tokens) and $0.40 vs. $0.50 for output tokens (1.5x cost difference). In terms of operational performance, GLM 5.3 Flash delivers faster response latency with 130ms TTFT (250ms faster than Gemini 2.0 Flash). GLM 5.3 Flash leads coding benchmarks at 54.2% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs OpenAI GPT-4o
Gemini 2.0 Flash is 96.0% cheaper for input tokens ($0.10 vs. $2.50 per 1M tokens) and $0.40 vs. $10.00 for output tokens (25.0x cost difference). In terms of operational performance, OpenAI GPT-4o delivers faster response latency with 280ms TTFT (100ms faster than Gemini 2.0 Flash). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 38.8% for OpenAI GPT-4o.
Gemini 2.0 Flash vs GPT-5.6 Luna
Gemini 2.0 Flash is 44.4% cheaper for input tokens ($0.10 vs. $0.18 per 1M tokens) and $0.40 vs. $0.72 for output tokens (1.8x cost difference). In terms of operational performance, GPT-5.6 Luna delivers faster response latency with 90ms TTFT (290ms faster than Gemini 2.0 Flash). GPT-5.6 Luna leads coding benchmarks at 48.5% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs GPT-5.6 Sol
Gemini 2.0 Flash is 98.8% cheaper for input tokens ($0.10 vs. $8.00 per 1M tokens) and $0.40 vs. $32.00 for output tokens (80.0x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (40ms faster than GPT-5.6 Sol). GPT-5.6 Sol leads coding benchmarks at 79.5% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs GPT-5.6 Terra
Gemini 2.0 Flash is 93.3% cheaper for input tokens ($0.10 vs. $1.50 per 1M tokens) and $0.40 vs. $6.00 for output tokens (15.0x cost difference). In terms of operational performance, GPT-5.6 Terra delivers faster response latency with 210ms TTFT (170ms faster than Gemini 2.0 Flash). GPT-5.6 Terra leads coding benchmarks at 65.4% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Grok 3
Gemini 2.0 Flash is 96.7% cheaper for input tokens ($0.10 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (30.0x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (470ms faster than Grok 3). Grok 3 leads coding benchmarks at 58.5% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs xAI Grok 4.6
Gemini 2.0 Flash is 95.0% cheaper for input tokens ($0.10 vs. $2.00 per 1M tokens) and $0.40 vs. $6.00 for output tokens (20.0x cost difference). In terms of operational performance, xAI Grok 4.6 delivers faster response latency with 280ms TTFT (100ms faster than Gemini 2.0 Flash). xAI Grok 4.6 leads coding benchmarks at 76.8% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Llama 3.3 70B Instruct
Gemini 2.0 Flash is 44.4% cheaper for input tokens ($0.10 vs. $0.18 per 1M tokens) and $0.40 vs. $0.40 for output tokens (1.8x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (40ms faster than Llama 3.3 70B Instruct). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 38.8% for Llama 3.3 70B Instruct.
Gemini 2.0 Flash vs Mistral Large 2
Gemini 2.0 Flash is 95.0% cheaper for input tokens ($0.10 vs. $2.00 per 1M tokens) and $0.40 vs. $6.00 for output tokens (20.0x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (170ms faster than Mistral Large 2). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 39.0% for Mistral Large 2.
Gemini 2.0 Flash vs OpenAI o1
Gemini 2.0 Flash is 99.3% cheaper for input tokens ($0.10 vs. $15.00 per 1M tokens) and $0.40 vs. $60.00 for output tokens (150.0x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (470ms faster than OpenAI o1). OpenAI o1 leads coding benchmarks at 48.9% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs o3-mini
Gemini 2.0 Flash is 90.9% cheaper for input tokens ($0.10 vs. $1.10 per 1M tokens) and $0.40 vs. $4.40 for output tokens (11.0x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (820ms faster than o3-mini). o3-mini leads coding benchmarks at 49.3% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Gemini 2.0 Flash vs Microsoft Phi-4 (14B)
Gemini 2.0 Flash is 16.7% cheaper for input tokens ($0.10 vs. $0.12 per 1M tokens) and $0.40 vs. $0.36 for output tokens (1.2x cost difference). In terms of operational performance, Microsoft Phi-4 (14B) delivers faster response latency with 110ms TTFT (270ms faster than Gemini 2.0 Flash). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 42.1% for Microsoft Phi-4 (14B).
Gemini 2.0 Flash vs Qwen 2.5 72B Instruct
Gemini 2.0 Flash is 71.4% cheaper for input tokens ($0.10 vs. $0.35 per 1M tokens) and $0.40 vs. $0.40 for output tokens (3.5x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (40ms faster than Qwen 2.5 72B Instruct). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 44.0% for Qwen 2.5 72B Instruct.
Gemini 2.0 Flash vs Qwen 2.5 Max
Gemini 2.0 Flash is 64.3% cheaper for input tokens ($0.10 vs. $0.28 per 1M tokens) and $0.40 vs. $0.84 for output tokens (2.8x cost difference). In terms of operational performance, Gemini 2.0 Flash delivers faster response latency with 380ms TTFT (100ms faster than Qwen 2.5 Max). Gemini 2.0 Flash leads coding benchmarks at 48.0% SWE-bench vs. 44.2% for Qwen 2.5 Max.
Gemini 2.0 Flash vs Qwen 3.8 Flash Next
Gemini 2.0 Flash is 16.7% cheaper for input tokens ($0.10 vs. $0.12 per 1M tokens) and $0.40 vs. $0.48 for output tokens (1.2x cost difference). In terms of operational performance, Qwen 3.8 Flash Next delivers faster response latency with 120ms TTFT (260ms faster than Gemini 2.0 Flash). Qwen 3.8 Flash Next leads coding benchmarks at 56.8% SWE-bench vs. 48.0% for Gemini 2.0 Flash.
Frequently Asked Questions & Query Fan-Out
How much does Gemini 2.0 Flash cost per 1M tokens?
Gemini 2.0 Flash costs $0.10 per million prompt (input) tokens and $0.40 per million completion (output) tokens.
What is the context window for Gemini 2.0 Flash?
Gemini 2.0 Flash supports a maximum context window of 1,073,152 tokens, with a maximum single-generation output of 8,192 tokens.
What are the primary use cases for Gemini 2.0 Flash?
Ultra-low-latency real-time multimodal agents, live streaming audio/video analysis, and high-volume document extraction.