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Gemini 3.8 Flash vs GPT-5.5

Gemini 3.8 Flash

Google

81#81
vs
GPT-5.5

OpenAI

93#12
Signal-by-Signal Comparison
SignalGemini 3.8 FlashDeltaGPT-5.5
Capabilities
100
--
100
Pricing
96
+26
70
Context window size
96
0
96
Recency
100
--
100
Output Capacity
77
-5
82
Benchmarks
0
-93
93
Overall Result
1 wins
of 6
3 wins
GPT-5.5 wins 3 of 6 signals

Score History

Score History (21 data points)
Gemini 3.8 FlashGPT-5.5
Gemini 3.8 Flash

81

current score

Leader

GPT-5.5

right now

GPT-5.5

92.7

current score

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

Gemini 3.8 Flash

Google

Best Value
Per request$0.002625
Daily$8.75
Monthly$262.50
Annual$3150.00

GPT-5.5

OpenAI

Per request$0.020000
Daily$66.67
Monthly$2000.00
Annual$24000.00

Gemini 3.8 Flash saves you $1737.50/month

That's $20850.00/year compared to GPT-5.5 at your current usage level of 100K calls/month.

87% cheaper
Choose Gemini 3.8 Flash for cost optimization

Gemini 3.8 Flash pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
GPT-5.5 pricing:
Input:$5.00/M tokens
Output:$30.00/M tokens
Gemini 3.8 Flash

Google

81

Composite Score

Winner
GPT-5.5

OpenAI

93

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.8 FlashGPT-5.5Winner
Overall Score
81
93
GPT-5.5
Rank#81#12
GPT-5.5
Quality Rank#81#12
GPT-5.5
Adoption Rank#81#12
GPT-5.5
Parameters------
Context Window1049K1050K
GPT-5.5
Pricing$0.75/$3.75/M$5.00/$30.00/M--
Signal Scores
Capabilities
100
100
Gemini 3.8 Flash
Pricing
96
70
Gemini 3.8 Flash
Context window size
96
96
GPT-5.5
Recency
100
100
Gemini 3.8 Flash
Output Capacity
77
82
GPT-5.5
Benchmarks--
93
GPT-5.5
Benchmark Head-to-Head(5 benchmarks)
Gemini 3.8: 1GPT-5.5: 0
Gemini 3.8
GPT-5.5
Normalized 0-100%
MMLU
-92.4%
GPQA Diamond
-93.6%
SWE-bench Verified
-88.7%
Arena Elo
-1475
HLE
44.52%41.4%
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 3.8 FlashStrong Performer

Scores 81/100 (rank #81), placing it in the top 72% of all 290 models tracked.

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

Scores 93/100 (rank #12), placing it in the top 96% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.5 has a 12-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 3.8 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 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.8 FlashBest Value
Input cost$0.75/M tokens
Output cost$3.75/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$67.50
GPT-5.5
Input cost$5.00/M tokens
Output cost$30.00/M tokens
Cost per quality point$0.378
Est. monthly (1M tokens/day)$525.00

Gemini 3.8 Flash offers 87% better value per quality point. At 1M tokens/day, you'd spend $67.50/month with Gemini 3.8 Flash vs $525.00/month with GPT-5.5 - a $457.50 monthly difference.

Latency & Speed
Gemini 3.8 FlashFaster
Speed score0/100
GPT-5.5
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 3.8 Flash

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.8 Flash also offers lower per-token costs for high-volume support

Gemini 3.8 Flash

Long document analysis

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

GPT-5.5

Batch data extraction

Lower output pricing ($3.75/M) reduces costs when processing thousands of records daily

Gemini 3.8 Flash

Creative writing & content

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

GPT-5.5

Image understanding & OCR

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

Gemini 3.8 Flash
Which Should You Choose?
Our recommendation:
GPT-5.5

GPT-5.5 clearly outperforms Gemini 3.8 Flash with a significant 11.700000000000003-point lead. For most general use cases, GPT-5.5 is the stronger choice. However, Gemini 3.8 Flash may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 87% 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
Recommended

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 3.8 FlashGPT-5.5
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 3.8 Flash

Google

Best Value
$5.85
estimated monthly cost

GPT-5.5

OpenAI

$45.00
estimated monthly cost

Gemini 3.8 Flash saves you $39.15/month

That's 87% cheaper than GPT-5.5 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 3.8 FlashGPT-5.5
Context Window1.0M1.1M
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedSep 2, 2026Apr 24, 2026
Last updated: 29m ago

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