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Gemini 3.6 Flash vs GPT-5.4 (batch)

Gemini 3.6 Flash

Google

80#73
vs
GPT-5.4 (batch)

OpenAI

92#19
Signal-by-Signal Comparison
SignalGemini 3.6 FlashDeltaGPT-5.4 (batch)
Capabilities
100
--
100
Benchmarks
78
-13
90
Pricing
93
--
93
Context window size
96
0
96
Recency
100
--
100
Output Capacity
80
-5
85
Overall Result
0 wins
of 6
3 wins
GPT-5.4 (batch) wins 3 of 6 signals

Score History

Score History (2 data points)
Gemini 3.6 FlashGPT-5.4 (batch)
Gemini 3.6 Flash

79.6

current score

Leader

GPT-5.4 (batch)

right now

GPT-5.4 (batch)

91.9

current score

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

Gemini 3.6 Flash

Google

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

GPT-5.4 (batch)

OpenAI

Best Value
Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

GPT-5.4 (batch) saves you $25.00/month

That's $300.00/year compared to Gemini 3.6 Flash at your current usage level of 100K calls/month.

5% cheaper
Choose GPT-5.4 (batch) for cost optimization

Gemini 3.6 Flash pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
GPT-5.4 (batch) pricing:
Input:$1.25/M tokens
Output:$7.50/M tokens
Gemini 3.6 Flash

Google

80

Composite Score

Winner
GPT-5.4 (batch)

OpenAI

92

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 FlashGPT-5.4 (batch)Winner
Overall Score
80
92
GPT-5.4 (batch)
Rank#73#19
GPT-5.4 (batch)
Quality Rank#73#19
GPT-5.4 (batch)
Adoption Rank#73#19
GPT-5.4 (batch)
Parameters------
Context Window1049K1050K
GPT-5.4 (batch)
Pricing$1.50/$7.50/M$1.25/$7.50/M--
Signal Scores
Capabilities
100
100
Gemini 3.6 Flash
Benchmarks
78
90
GPT-5.4 (batch)
Pricing
93
93
Gemini 3.6 Flash
Context window size
96
96
GPT-5.4 (batch)
Recency
100
100
Gemini 3.6 Flash
Output Capacity
80
85
GPT-5.4 (batch)
Benchmark Head-to-Head(11 benchmarks)
Gemini 3.6: 0GPT-5.4 (batch): 1
Gemini 3.6
GPT-5.4 (batch)
Normalized 0-100%
MMLU
-94%
MMLU-Pro
-87%
GPQA Diamond
-88.5%
MATH-500
-95.5%
HumanEval
-97.5%
SWE-bench Verified
-80%
IFEval
-93.5%
BBH
-92%
Arena Elo
14821485
LiveBench
-79%
HLE
-39%
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 #73), placing it in the top 75% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.4 (batch)Elite Tier

Scores 92/100 (rank #19), placing it in the top 94% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.4 (batch) 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 3.6 Flash when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5.4 (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.6 Flash
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-5.4 (batch)Best Value
Input cost$1.25/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.095
Est. monthly (1M tokens/day)$131.25

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Gemini 3.6 FlashFaster
Speed score0/100
GPT-5.4 (batch)
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-5.4 (batch)

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 (92/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.4 (batch)

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-5.4 (batch)

GPT-5.4 (batch) clearly outperforms Gemini 3.6 Flash with a significant 12.300000000000011-point lead. For most general use cases, GPT-5.4 (batch) 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 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-5.4 (batch)
Recommended

by OpenAI

  • Choose for Cost - 3% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 FlashGPT-5.4 (batch)
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

$11.70
estimated monthly cost

GPT-5.4 (batch)

OpenAI

Best Value
$11.25
estimated monthly cost

GPT-5.4 (batch) saves you $0.4500/month

That's 4% cheaper than Gemini 3.6 Flash 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-5.4 (batch)
Context Window1.0M1.1M
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedJul 21, 2026Mar 5, 2026
Last updated: 49m ago

相关对比

Gemini 3.6 Flash vs GPT-5.4 (batch) (2026) | LM Market Cap