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Gemini 3.6 Flash (batch) vs GPT-4.1

vs
GPT-4.1

OpenAI

68#174
Signal-by-Signal Comparison
SignalGemini 3.6 Flash (batch)DeltaGPT-4.1
Capabilities
100
+17
83
Benchmarks
78
+8
70
Pricing
96
+4
92
Context window size
96
--
96
Recency
100
+55
45
Output Capacity
80
+5
75
Overall Result
5 wins
of 6
0 wins
Gemini 3.6 Flash (batch) wins 5 of 6 signals

Score History

Score History (25 data points)
Gemini 3.6 Flash (batch)GPT-4.1
Gemini 3.6 Flash (batch)

80

current score

Leader

Gemini 3.6 Flash (batch)

right now

GPT-4.1

67.7

current score

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

Gemini 3.6 Flash (batch)

Google

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

GPT-4.1

OpenAI

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

Gemini 3.6 Flash (batch) saves you $337.50/month

That's $4050.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

56% cheaper
Choose Gemini 3.6 Flash (batch) for cost optimization

Gemini 3.6 Flash (batch) pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Winner
Gemini 3.6 Flash (batch)

Google

80

Composite Score

GPT-4.1

OpenAI

68

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 Flash (batch)GPT-4.1Winner
Overall Score
80
68
Gemini 3.6 Flash (batch)
Rank#88#174
Gemini 3.6 Flash (batch)
Quality Rank#88#174
Gemini 3.6 Flash (batch)
Adoption Rank#88#174
Gemini 3.6 Flash (batch)
Parameters------
Context Window1049K1048K
Gemini 3.6 Flash (batch)
Pricing$0.75/$3.75/M$2.00/$8.00/M--
Signal Scores
Capabilities
100
83
Gemini 3.6 Flash (batch)
Benchmarks
78
70
Gemini 3.6 Flash (batch)
Pricing
96
92
Gemini 3.6 Flash (batch)
Context window size
96
96
Gemini 3.6 Flash (batch)
Recency
100
45
Gemini 3.6 Flash (batch)
Output Capacity
80
75
Gemini 3.6 Flash (batch)
Benchmark Head-to-Head(12 benchmarks)
Gemini 3.6: 1GPT-4.1: 0
Gemini 3.6
GPT-4.1
Normalized 0-100%
MMLU
-89.2%
MMLU-Pro
-81.8%
GPQA Diamond
-56%
MATH-500
-78.5%
HumanEval
-91.5%
SWE-bench Verified
-54.6%
IFEval
-88.2%
BBH
-84%
Arena Elo
14851300
LiveBench
-64.5%
HLE
-5.4%
BigCodeBench
-31.8%
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
GPT-4.1Competitive

Scores 68/100 (rank #174), placing it in the top 40% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.6 Flash (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 (batch) 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-4.1 when you need:

  • Budget-friendly applications with moderate quality requirements
Cost-Performance Analysis
Gemini 3.6 Flash (batch)Best 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-4.1
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.148
Est. monthly (1M tokens/day)$150.00

Gemini 3.6 Flash (batch) offers 55% better value per quality point. At 1M tokens/day, you'd spend $67.50/month with Gemini 3.6 Flash (batch) vs $150.00/month with GPT-4.1 - a $82.50 monthly difference.

Latency & Speed
Gemini 3.6 Flash (batch)Faster
Speed score0/100
GPT-4.1
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. Gemini 3.6 Flash (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 ($3.75/M) reduces costs when processing thousands of records daily

Gemini 3.6 Flash (batch)

Creative writing & content

Higher overall composite score (80/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.6 Flash (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:
Gemini 3.6 Flash (batch)

Gemini 3.6 Flash (batch) clearly outperforms GPT-4.1 with a significant 12.299999999999997-point lead. For most general use cases, Gemini 3.6 Flash (batch) is the stronger choice. However, GPT-4.1 may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 55% 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

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 3.6 Flash (batch)GPT-4.1
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.6 Flash (batch)

Google

Best Value
$5.85
estimated monthly cost

GPT-4.1

OpenAI

$13.20
estimated monthly cost

Gemini 3.6 Flash (batch) saves you $7.35/month

That's 56% cheaper than GPT-4.1 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)GPT-4.1
Context Window1.0M1.0M
Max Output Tokens65,53632,768
Open SourceNoNo
CreatedJul 21, 2026Apr 14, 2025
Last updated: 28m ago

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