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Gemini 3.8 Flash (batch) vs GPT-5.4 Mini (batch)

Signal-by-Signal Comparison
SignalGemini 3.8 Flash (batch)DeltaGPT-5.4 Mini (batch)
Capabilities
100
--
100
Pricing
98
+0
98
Context window size
96
+7
89
Recency
100
--
100
Output Capacity
77
-5
82
Benchmarks
0
-90
90
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (5 data points)
Gemini 3.8 Flash (batch)GPT-5.4 Mini (batch)
Gemini 3.8 Flash (batch)

81

current score

Leader

Gemini 3.8 Flash (batch)

right now

GPT-5.4 Mini (batch)

79.3

current score

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

Gemini 3.8 Flash (batch)

Google

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

GPT-5.4 Mini (batch)

OpenAI

Per request$0.001500
Daily$5.00
Monthly$150.00
Annual$1800.00

Gemini 3.8 Flash (batch) saves you $18.75/month

That's $225.00/year compared to GPT-5.4 Mini (batch) at your current usage level of 100K calls/month.

13% cheaper
Choose Gemini 3.8 Flash (batch) for cost optimization

Gemini 3.8 Flash (batch) pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
GPT-5.4 Mini (batch) pricing:
Input:$0.38/M tokens
Output:$2.25/M tokens
Winner
Gemini 3.8 Flash (batch)

Google

81

Composite Score

GPT-5.4 Mini (batch)

OpenAI

79

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.8 Flash (batch)GPT-5.4 Mini (batch)Winner
Overall Score
81
79
Gemini 3.8 Flash (batch)
Rank#85#95
Gemini 3.8 Flash (batch)
Quality Rank#85#95
Gemini 3.8 Flash (batch)
Adoption Rank#85#95
Gemini 3.8 Flash (batch)
Parameters------
Context Window1049K400K
Gemini 3.8 Flash (batch)
Pricing$0.38/$1.88/M$0.38/$2.25/M--
Signal Scores
Capabilities
100
100
Gemini 3.8 Flash (batch)
Pricing
98
98
Gemini 3.8 Flash (batch)
Context window size
96
89
Gemini 3.8 Flash (batch)
Recency
100
100
Gemini 3.8 Flash (batch)
Output Capacity
77
82
GPT-5.4 Mini (batch)
Benchmarks--
90
GPT-5.4 Mini (batch)
Benchmark Head-to-Head(11 benchmarks)
Gemini 3.8: 1GPT-5.4 Mini: 0
Gemini 3.8
GPT-5.4 Mini
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
-1485
LiveBench
-79%
HLE
44.52%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 3.8 Flash (batch)Strong Performer

Scores 81/100 (rank #85), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.4 Mini (batch)Strong Performer

Scores 79/100 (rank #95), placing it in the top 68% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 3.8 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-5.4 Mini (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.8 Flash (batch)Best Value
Input cost$0.38/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$33.75
GPT-5.4 Mini (batch)
Input cost$0.38/M tokens
Output cost$2.25/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$39.38

Gemini 3.8 Flash (batch) offers 14% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with Gemini 3.8 Flash (batch) vs $39.38/month with GPT-5.4 Mini (batch) - a $5.63 monthly difference.

Latency & Speed
Gemini 3.8 Flash (batch)Faster
Speed score0/100
GPT-5.4 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 3.8 Flash (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.8 Flash (batch) also offers lower per-token costs for high-volume support

Gemini 3.8 Flash (batch)

Long document analysis

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

Gemini 3.8 Flash (batch)

Batch data extraction

Lower output pricing ($1.88/M) reduces costs when processing thousands of records daily

Gemini 3.8 Flash (batch)

Creative writing & content

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

Gemini 3.8 Flash (batch)

Image understanding & OCR

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

Gemini 3.8 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.8 Flash (batch)

Gemini 3.8 Flash (batch) and GPT-5.4 Mini (batch) are extremely close in overall performance (only 1.7000000000000028 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 Cost - 14% 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 3.8 Flash (batch)GPT-5.4 Mini (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 3.8 Flash (batch)

Google

Best Value
$2.92
estimated monthly cost

GPT-5.4 Mini (batch)

OpenAI

$3.38
estimated monthly cost

Gemini 3.8 Flash (batch) saves you $0.4500/month

That's 13% cheaper than GPT-5.4 Mini (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 3.8 Flash (batch)GPT-5.4 Mini (batch)
Context Window1.0M400K
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedSep 2, 2026Mar 17, 2026
Last updated: 38m ago

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