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Gemini 3.6 Flash (batch) vs o4 Mini High (batch)

Signal-by-Signal Comparison
SignalGemini 3.6 Flash (batch)Deltao4 Mini High (batch)
Capabilities
100
--
100
Benchmarks
78
-6
85
Pricing
96
-1
98
Context window size
96
+11
84
Recency
100
+54
46
Output Capacity
80
-3
83
Overall Result
2 wins
of 6
3 wins
o4 Mini High (batch) wins 3 of 6 signals

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

80

Gemini 3.6 Flash (batch)

vs

81.4

o4 Mini High (batch)

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

Gemini 3.6 Flash (batch)

Google

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

o4 Mini High (batch)

OpenAI

Best Value
Per request$0.001650
Daily$5.50
Monthly$165.00
Annual$1980.00

o4 Mini High (batch) saves you $97.50/month

That's $1170.00/year compared to Gemini 3.6 Flash (batch) at your current usage level of 100K calls/month.

37% cheaper
Choose o4 Mini High (batch) for cost optimization

Gemini 3.6 Flash (batch) pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
o4 Mini High (batch) pricing:
Input:$0.55/M tokens
Output:$2.20/M tokens
Gemini 3.6 Flash (batch)

Google

80

Composite Score

Winner
o4 Mini High (batch)

OpenAI

81

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 Flash (batch)o4 Mini High (batch)Winner
Overall Score
80
81
o4 Mini High (batch)
Rank#88#78
o4 Mini High (batch)
Quality Rank#88#78
o4 Mini High (batch)
Adoption Rank#88#78
o4 Mini High (batch)
Parameters------
Context Window1049K200K
Gemini 3.6 Flash (batch)
Pricing$0.75/$3.75/M$0.55/$2.20/M--
Signal Scores
Capabilities
100
100
Gemini 3.6 Flash (batch)
Benchmarks
78
85
o4 Mini High (batch)
Pricing
96
98
o4 Mini High (batch)
Context window size
96
84
Gemini 3.6 Flash (batch)
Recency
100
46
Gemini 3.6 Flash (batch)
Output Capacity
80
83
o4 Mini High (batch)
Benchmark Head-to-Head(11 benchmarks)
Gemini 3.6: 1o4 Mini: 0
Gemini 3.6
o4 Mini
Normalized 0-100%
MMLU-Pro
-83%
GPQA Diamond
-81.4%
MATH-500
-97.3%
HumanEval
-95%
SWE-bench Verified
-68.1%
AIME 2024
-93.4%
IFEval
-90%
BBH
-90.5%
Arena Elo
14851380
LiveBench
-72%
HLE
-18.08%
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 Flash (batch)Strong Performer

Scores 80/100 (rank #88), placing it in the top 70% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o4 Mini High (batch)Strong Performer

Scores 81/100 (rank #78), placing it in the top 73% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 3.6 Flash (batch) when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose o4 Mini High (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.6 Flash (batch)
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
o4 Mini High (batch)Best Value
Input cost$0.55/M tokens
Output cost$2.20/M tokens
Cost per quality point$0.034
Est. monthly (1M tokens/day)$41.25

o4 Mini High (batch) offers 39% better value per quality point. At 1M tokens/day, you'd spend $41.25/month with o4 Mini High (batch) vs $67.50/month with Gemini 3.6 Flash (batch) - a $26.25 monthly difference.

Latency & Speed
Gemini 3.6 Flash (batch)Faster
Speed score0/100
o4 Mini High (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 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. o4 Mini High (batch) also offers lower per-token costs for high-volume support

Gemini 3.6 Flash (batch)

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.6 Flash (batch)

Batch data extraction

Lower output pricing ($2.20/M) reduces costs when processing thousands of records daily

o4 Mini High (batch)

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

o4 Mini High (batch)

Image understanding & OCR

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

Gemini 3.6 Flash (batch)
Which Should You Choose?
Our recommendation:
o4 Mini High (batch)

Gemini 3.6 Flash (batch) and o4 Mini High (batch) are extremely close in overall performance (only 1.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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

by OpenAI

  • Choose for Cost - 39% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 Flash (batch)o4 Mini High (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 (batch)

Google

$5.85
estimated monthly cost

o4 Mini High (batch)

OpenAI

Best Value
$3.63
estimated monthly cost

o4 Mini High (batch) saves you $2.22/month

That's 38% cheaper than Gemini 3.6 Flash (batch) 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 Flash (batch)o4 Mini High (batch)
Context Window1.0M200K
Max Output Tokens65,536100,000
Open SourceNoNo
CreatedJul 21, 2026Apr 16, 2025
Last updated: 34m ago

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Gemini 3.6 Flash (batch) vs o4 Mini High (batch) (2026) | LM Market Cap