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Gemini 3.6 Flash (batch) vs GPT-5.1-Codex-Mini

Signal-by-Signal Comparison
SignalGemini 3.6 Flash (batch)DeltaGPT-5.1-Codex-Mini
Capabilities
100
--
100
Benchmarks
78
-10
88
Pricing
96
-2
98
Context window size
96
+7
89
Recency
100
+16
84
Output Capacity
80
-5
85
Overall Result
2 wins
of 6
3 wins
GPT-5.1-Codex-Mini wins 3 of 6 signals

Score History

Score History (25 data points)
Gemini 3.6 Flash (batch)GPT-5.1-Codex-Mini
Gemini 3.6 Flash (batch)

80

current score

Leader

GPT-5.1-Codex-Mini

right now

GPT-5.1-Codex-Mini

87.8

current score

LMMarketCap.com
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

GPT-5.1-Codex-Mini

OpenAI

Best Value
Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

GPT-5.1-Codex-Mini saves you $137.50/month

That's $1650.00/year compared to Gemini 3.6 Flash (batch) at your current usage level of 100K calls/month.

52% cheaper
Choose GPT-5.1-Codex-Mini for cost optimization

Gemini 3.6 Flash (batch) pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
GPT-5.1-Codex-Mini pricing:
Input:$0.25/M tokens
Output:$2.00/M tokens
Gemini 3.6 Flash (batch)

Google

80

Composite Score

Winner
GPT-5.1-Codex-Mini

OpenAI

88

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 Flash (batch)GPT-5.1-Codex-MiniWinner
Overall Score
80
88
GPT-5.1-Codex-Mini
Rank#88#59
GPT-5.1-Codex-Mini
Quality Rank#88#59
GPT-5.1-Codex-Mini
Adoption Rank#88#59
GPT-5.1-Codex-Mini
Parameters------
Context Window1049K400K
Gemini 3.6 Flash (batch)
Pricing$0.75/$3.75/M$0.25/$2.00/M--
Signal Scores
Capabilities
100
100
Gemini 3.6 Flash (batch)
Benchmarks
78
88
GPT-5.1-Codex-Mini
Pricing
96
98
GPT-5.1-Codex-Mini
Context window size
96
89
Gemini 3.6 Flash (batch)
Recency
100
84
Gemini 3.6 Flash (batch)
Output Capacity
80
85
GPT-5.1-Codex-Mini
Benchmark Head-to-Head(11 benchmarks)
Gemini 3.6: 1GPT-5.1-Codex-Mini: 0
Gemini 3.6
GPT-5.1-Codex-Mini
Normalized 0-100%
MMLU
-93.2%
MMLU-Pro
-85%
GPQA Diamond
-86.5%
MATH-500
-93.5%
HumanEval
-96.8%
SWE-bench Verified
-76.5%
IFEval
-92.5%
BBH
-91%
Arena Elo
14851475
LiveBench
-74%
HLE
-23.68%
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-5.1-Codex-MiniElite Tier

Scores 88/100 (rank #59), placing it in the top 80% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.1-Codex-Mini has a 8-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:

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

Choose GPT-5.1-Codex-Mini 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
GPT-5.1-Codex-MiniBest Value
Input cost$0.25/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.026
Est. monthly (1M tokens/day)$33.75

GPT-5.1-Codex-Mini offers 50% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with GPT-5.1-Codex-Mini vs $67.50/month with Gemini 3.6 Flash (batch) - a $33.75 monthly difference.

Latency & Speed
Gemini 3.6 Flash (batch)Faster
Speed score0/100
GPT-5.1-Codex-Mini
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. GPT-5.1-Codex-Mini 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 ($2.00/M) reduces costs when processing thousands of records daily

GPT-5.1-Codex-Mini

Creative writing & content

Higher overall composite score (88/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.1-Codex-Mini

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:
GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini has a moderate advantage with a 7.799999999999997-point lead in composite score. It wins on more signal dimensions, but Gemini 3.6 Flash (batch) has specific strengths that could make it the better choice for certain workflows.

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 - 50% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 Flash (batch)GPT-5.1-Codex-Mini
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

GPT-5.1-Codex-Mini

OpenAI

Best Value
$2.85
estimated monthly cost

GPT-5.1-Codex-Mini saves you $3.00/month

That's 51% 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)GPT-5.1-Codex-Mini
Context Window1.0M400K
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedJul 21, 2026Nov 13, 2025
Last updated: 27m ago

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Gemini 3.6 Flash (batch) vs GPT-5.1-Codex-Mini (2026) | LM Market Cap