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Gemini 3.6 Flash vs GPT-5.5 Pro

Gemini 3.6 Flash

Google

80#60
vs
GPT-5.5 Pro

OpenAI

93#8
Signal-by-Signal Comparison
SignalGemini 3.6 FlashDeltaGPT-5.5 Pro
Capabilities
100
--
100
Benchmarks
78
-14
92
Pricing
93
+88
5
Context window size
96
0
96
Recency
100
--
100
Output Capacity
80
-5
85
Overall Result
1 wins
of 6
3 wins
GPT-5.5 Pro wins 3 of 6 signals

Score History

Score History (15 data points)
Gemini 3.6 FlashGPT-5.5 Pro
Gemini 3.6 Flash

79.6

current score

Leader

GPT-5.5 Pro

right now

GPT-5.5 Pro

92.7

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 3.6 Flash

Google

Best Value
Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

GPT-5.5 Pro

OpenAI

Per request$0.120000
Daily$400.00
Monthly$12000.00
Annual$144000.00

Gemini 3.6 Flash saves you $11475.00/month

That's $137700.00/year compared to GPT-5.5 Pro at your current usage level of 100K calls/month.

96% cheaper
Choose Gemini 3.6 Flash for cost optimization

Gemini 3.6 Flash pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
GPT-5.5 Pro pricing:
Input:$30.00/M tokens
Output:$180.00/M tokens
Gemini 3.6 Flash

Google

80

Composite Score

Winner
GPT-5.5 Pro

OpenAI

93

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 FlashGPT-5.5 ProWinner
Overall Score
80
93
GPT-5.5 Pro
Rank#60#8
GPT-5.5 Pro
Quality Rank#60#8
GPT-5.5 Pro
Adoption Rank#60#8
GPT-5.5 Pro
Parameters------
Context Window1049K1050K
GPT-5.5 Pro
Pricing$1.50/$7.50/M$30.00/$180.00/M--
Signal Scores
Capabilities
100
100
Gemini 3.6 Flash
Benchmarks
78
92
GPT-5.5 Pro
Pricing
93
5
Gemini 3.6 Flash
Context window size
96
96
GPT-5.5 Pro
Recency
100
100
Gemini 3.6 Flash
Output Capacity
80
85
GPT-5.5 Pro
Benchmark Head-to-Head(4 benchmarks)
Gemini 3.6: 0GPT-5.5 Pro: 0
Gemini 3.6
GPT-5.5 Pro
Normalized 0-100%
MMLU
-92.4%
GPQA Diamond
-93.6%
SWE-bench Verified
-88.7%
Arena Elo
1482-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 3.6 FlashStrong Performer

Scores 80/100 (rank #60), placing it in the top 80% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.5 ProElite Tier

Scores 93/100 (rank #8), placing it in the top 98% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.5 Pro has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.6 Flash when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5.5 Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.6 FlashBest Value
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.113
Est. monthly (1M tokens/day)$135.00
GPT-5.5 Pro
Input cost$30.00/M tokens
Output cost$180.00/M tokens
Cost per quality point$2.265
Est. monthly (1M tokens/day)$3150.00

Gemini 3.6 Flash offers 96% better value per quality point. At 1M tokens/day, you'd spend $135.00/month with Gemini 3.6 Flash vs $3150.00/month with GPT-5.5 Pro - a $3015.00 monthly difference.

Latency & Speed
Gemini 3.6 FlashFaster
Speed score0/100
GPT-5.5 Pro
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 3.6 Flash

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.6 Flash also offers lower per-token costs for high-volume support

Gemini 3.6 Flash

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.5 Pro

Batch data extraction

Lower output pricing ($7.50/M) reduces costs when processing thousands of records daily

Gemini 3.6 Flash

Creative writing & content

Higher overall composite score (93/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5 Pro

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 3.6 Flash
Which Should You Choose?
Our recommendation:
GPT-5.5 Pro

GPT-5.5 Pro clearly outperforms Gemini 3.6 Flash with a significant 13.100000000000009-point lead. For most general use cases, GPT-5.5 Pro is the stronger choice. However, Gemini 3.6 Flash may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 96% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
GPT-5.5 Pro
Recommended

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 3.6 FlashGPT-5.5 Pro
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.6 Flash

Google

Best Value
$11.70
estimated monthly cost

GPT-5.5 Pro

OpenAI

$270.00
estimated monthly cost

Gemini 3.6 Flash saves you $258.30/month

That's 96% cheaper than GPT-5.5 Pro at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 3.6 FlashGPT-5.5 Pro
Context Window1.0M1.1M
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedJul 21, 2026Apr 24, 2026
Last updated: 54m ago

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