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Gemini 3.7 Flash (batch) vs GPT-4.1 Mini (batch)

Signal-by-Signal Comparison
SignalGemini 3.7 Flash (batch)DeltaGPT-4.1 Mini (batch)
Capabilities
100
+17
83
Pricing
98
-1
99
Context window size
96
--
96
Recency
100
+63
37
Output Capacity
77
+5
72
Benchmarks
0
-70
70
Overall Result
3 wins
of 6
2 wins
Gemini 3.7 Flash (batch) wins 3 of 6 signals

Score History

Score History (8 data points)
Gemini 3.7 Flash (batch)GPT-4.1 Mini (batch)
Gemini 3.7 Flash (batch)

40

current score

Leader

GPT-4.1 Mini (batch)

right now

GPT-4.1 Mini (batch)

58.9

current score

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

Gemini 3.7 Flash (batch)

Google

Per request$0.001312
Daily$4.38
Monthly$131.25
Annual$1575.00

GPT-4.1 Mini (batch)

OpenAI

Best Value
Per request$0.000600
Daily$2.00
Monthly$60.00
Annual$720.00

GPT-4.1 Mini (batch) saves you $71.25/month

That's $855.00/year compared to Gemini 3.7 Flash (batch) at your current usage level of 100K calls/month.

54% cheaper
Choose GPT-4.1 Mini (batch) for cost optimization

Gemini 3.7 Flash (batch) pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
GPT-4.1 Mini (batch) pricing:
Input:$0.20/M tokens
Output:$0.80/M tokens
Gemini 3.7 Flash (batch)

Google

40

Composite Score

Winner
GPT-4.1 Mini (batch)

OpenAI

59

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.7 Flash (batch)GPT-4.1 Mini (batch)Winner
Overall Score
40
59
GPT-4.1 Mini (batch)
Rank#266#217
GPT-4.1 Mini (batch)
Quality Rank#266#217
GPT-4.1 Mini (batch)
Adoption Rank#266#217
GPT-4.1 Mini (batch)
Parameters------
Context Window1049K1048K
Gemini 3.7 Flash (batch)
Pricing$0.38/$1.88/M$0.20/$0.80/M--
Signal Scores
Capabilities
100
83
Gemini 3.7 Flash (batch)
Pricing
98
99
GPT-4.1 Mini (batch)
Context window size
96
96
Gemini 3.7 Flash (batch)
Recency
100
37
Gemini 3.7 Flash (batch)
Output Capacity
77
72
Gemini 3.7 Flash (batch)
Benchmarks--
70
GPT-4.1 Mini (batch)
Benchmark Head-to-Head(12 benchmarks)
Gemini 3.7: 0GPT-4.1 Mini: 0
Gemini 3.7
GPT-4.1 Mini
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
-1300
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 3.7 Flash (batch)Entry Level

Scores 40/100 (rank #266), placing it in the top 9% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4.1 Mini (batch)Competitive

Scores 59/100 (rank #217), placing it in the top 26% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-4.1 Mini (batch) has a 19-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.7 Flash (batch) when you need:

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

Choose GPT-4.1 Mini (batch) when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Gemini 3.7 Flash (batch)
Input cost$0.38/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$33.75
GPT-4.1 Mini (batch)Best Value
Input cost$0.20/M tokens
Output cost$0.80/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$15.00

GPT-4.1 Mini (batch) offers 56% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with GPT-4.1 Mini (batch) vs $33.75/month with Gemini 3.7 Flash (batch) - a $18.75 monthly difference.

Latency & Speed
Gemini 3.7 Flash (batch)Faster
Speed score0/100
GPT-4.1 Mini (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 3.7 Flash (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Mini (batch) also offers lower per-token costs for high-volume support

Gemini 3.7 Flash (batch)

Long document analysis

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

Gemini 3.7 Flash (batch)

Batch data extraction

Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily

GPT-4.1 Mini (batch)

Creative writing & content

Higher overall composite score (59/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Mini (batch)

Image understanding & OCR

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

Gemini 3.7 Flash (batch)
Which Should You Choose?
Our recommendation:
GPT-4.1 Mini (batch)

GPT-4.1 Mini (batch) clearly outperforms Gemini 3.7 Flash (batch) with a significant 18.9-point lead. For most general use cases, GPT-4.1 Mini (batch) is the stronger choice. However, Gemini 3.7 Flash (batch) 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

by OpenAI

  • Choose for Cost - 56% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.7 Flash (batch)GPT-4.1 Mini (batch)
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 3.7 Flash (batch)

Google

$2.92
estimated monthly cost

GPT-4.1 Mini (batch)

OpenAI

Best Value
$1.32
estimated monthly cost

GPT-4.1 Mini (batch) saves you $1.60/month

That's 55% cheaper than Gemini 3.7 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 3.7 Flash (batch)GPT-4.1 Mini (batch)
Context Window1.0M1.0M
Max Output Tokens65,53632,768
Open SourceNoNo
CreatedAug 13, 2026Apr 14, 2025
Last updated: 8m ago

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Gemini 3.7 Flash (batch) vs GPT-4.1 Mini (batch) (2026) | LM Market Cap