Gemini 3 Flash vs Gemini 3 Pro
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Gemini 3 Flash by Google and Gemini 3 Pro by Google represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Gemini 3 Flash holds a notable pricing advantage for token ingestion. On output generation, Gemini 3 Flash is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Gemini 3 Pro provides an expanded memory horizon with 2,000K tokens. In latency-sensitive production environments, Gemini 3 Flash leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
Switch & Compare Any Models
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Gemini 3 Flash
Frontier FlashNext-generation Flash architecture bringing frontier-class reasoning and multimodal throughput at low cost.
$0.50 / 1M
$3.00 / 1M
1.05M tokens
66.5%
Gemini 3 Pro
Context KingGoogle's context king with an industry-leading 2M-token window and the #1 LMSYS Arena ranking, purpose-built for long-document and multimodal reasoning.
$2.00 / 1M
$12.00 / 1M
2M tokens
76.2%
Key Differences at a Glance
- Gemini 3 Flash is 3.9x cheaper for API usage (input + output tokens combined).
- Gemini 3 Pro has a larger context window (2M vs 1M tokens).
- Gemini 3 Flash is faster at 180 tok/s vs 118 tok/s.
- Gemini 3 Pro leads on SWE-bench coding (76.2% vs 66.5%).
| Feature | Gemini 3 Flash | Gemini 3 Pro |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 75 | 62 |
Provider | ||
Input Price Cost per million input tokens | $0.50 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $3.00 / 1M | $12.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.49 / 1M | $1.74 / 1M |
Context Window Maximum input + output tokens | 1.05M tokens~1,573 A4 pages of text | 2M tokens~3,000 A4 pages of text |
Max Output Tokens Per single request | 66K | 66K |
Throughput Speed Tokens generated per second | 180 tok/s | 118 tok/s |
SWE-bench Verified Real-world software engineering | 66.5% | 76.2% |
GPQA Diamond Graduate-level reasoning | 79% | 73.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.13 / 1M | $0.20 / 1M |
Who Wins Where?
At-a-glance decision frameworkEmpirical Head-to-Head Benchmark Scores
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latency & Response Time
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Real-Time Interactive Token Cost Simulator
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Gemini 3 Flash · Strengths & Key Advantages
- Frontier-grade reasoning at sub-dollar input costs
- Complete native video and audio processing
- Superb tool calling accuracy
Considerations & Trade-offs
- Preview API rate limits during rollout
- Reasoning tokens add to total bill
Gemini 3 Pro · Strengths & Key Advantages
- Industry-leading 2M-token context window (10x most rivals)
- #1 LMSYS Chatbot Arena ranking at launch
- Native multimodal input across text, image, audio, and video
- 90% cached-context discount for repeated long inputs
Considerations & Trade-offs
- Higher rates apply above the 200K standard tier
- Output price ($12/1M) above GPT-5.1 for short tasks
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini 3 Flash | Gemini 3 Pro |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.95 | $2.40 |
Output Tokens / Task Tokens generated per task | 35K | 60K |
Reasoning Tokens / Task Thinking tokens burned per task | 16K | 31K |
Technical Specifications
Architecture, release timeline, capabilities, and modalities.
| Feature | Gemini 3 Flash | Gemini 3 Pro |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-3-flash | models/gemini-3-pro |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-12 | 2025-11 |
| Knowledge Cutoff | September 2025 | January 2025 |
| Architecture | Next-gen sparse multimodal mixture-of-experts | Sparse Multimodal MoE |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.125/1M with configurable TTL | Implicit + Explicit Context Caching at $0.2/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Google DeepMind Frontier Safety Framework Verified | Google DeepMind Frontier Safety Framework Verified |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision, audio, video | text, vision, audio, video |
| Output Modalities | text | text |
Gemini 3 Flash vs Gemini 3 Pro: Quick Answers
Which is more intelligent, Gemini 3 Flash or Gemini 3 Pro?
Gemini 3 Flash is more intelligent. It scores 75 compared with 62 on the composite Intelligence Index.
Which model is faster?
Gemini 3 Flash is faster, generating 180 tokens per second compared with 118 tokens per second.
Which model is cheaper to run?
Gemini 3 Flash is cheaper at $0.49 per 1M tokens blended, compared with $1.74 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini 3 Flash has lower latency, with a time to first token of 0.40s compared with 1.80s.
Which model has a larger context window?
Gemini 3 Pro has a larger context window, supporting 2M tokens compared with 1.05M tokens.
Verdict
Verdict & Model Selection Recommendation: Choose Gemini 3 Flash if your priority is Production multimodal software agents and real-time interactive intelligence. Its performance in demanding tasks justifies its operational token cost. Choose Gemini 3 Pro if your workflow prioritizes Long-document analysis, full-codebase reasoning, and multimodal tasks needing 500K+ tokens. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
Frequently asked questions
How does Gemini 3 Flash compare to Gemini 3 Pro in API token pricing and cost per token?+
Gemini 3 Flash costs $0.50 per 1M input tokens and $3.00 per 1M output tokens, whereas Gemini 3 Pro costs $2.00 input and $12.00 output. Overall, Gemini 3 Flash is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Gemini 3 Flash or Gemini 3 Pro?+
Gemini 3 Flash supports a context window of 1,049K tokens (~786k words), while Gemini 3 Pro supports 2,000K tokens (~1,500k words). Therefore, Gemini 3 Pro can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Gemini 3 Flash or Gemini 3 Pro?+
Gemini 3 Flash scores 66.5% on SWE-bench Verified while Gemini 3 Pro scores 76.2%. For autonomous software engineering and multi-file debugging, Gemini 3 Pro holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between Gemini 3 Flash and Gemini 3 Pro?+
Gemini 3 Flash features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Gemini 3 Pro provides chain-of-thought reasoning depth for complex math and science.
How does inference speed (tokens per second) compare between Gemini 3 Flash and Gemini 3 Pro?+
Gemini 3 Flash generates approximately 180 tokens per second, while Gemini 3 Pro delivers 118 tokens per second. In latency-sensitive production environments, Gemini 3 Flash provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Gemini 3 Flash and Gemini 3 Pro to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Gemini 3 Flash to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Gemini 3 Pro. This tiered routing pattern cuts overall API bills by up to 70%.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Claude Fable 5.1 vs Gemini 3 Pro: Benchmarks, Pricing & Speed ComparisonCompare
- Gemini 3 Flash vs MiniMax-M2.5-highspeed: Benchmarks, Pricing & Speed ComparisonCompare
- Gemini 3 Pro vs GPT-5.1: Benchmarks, Pricing & Speed ComparisonCompare
- Gemini 3 Pro vs GPT-5 Pro: Benchmarks, Pricing & Speed ComparisonCompare
- GPT-5.1 Chat vs Gemini 3 Pro: Benchmarks, Pricing & Speed ComparisonCompare
- GPT-6 Astra vs Gemini 3 Pro: Benchmarks, Pricing & Speed ComparisonCompare
Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Sources: GetInfoUs Independent AI Benchmarks & Official API Specs