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Gemini 3.1 Pro Preview (batch) vs Gemini 4 Argon (batch)

Signal-by-Signal Comparison
SignalGemini 3.1 Pro Preview (batch)DeltaGemini 4 Argon (batch)
Capabilities
100
--
100
Benchmarks
92
+92
0
Pricing
94
-1
95
Context window size
96
--
96
Recency
87
-13
100
Output Capacity
77
-18
96
Overall Result
1 wins
of 6
3 wins
Gemini 4 Argon (batch) wins 3 of 6 signals

Score History

Score History (13 data points)
Gemini 3.1 Pro Preview (batch)Gemini 4 Argon (batch)
Gemini 3.1 Pro Preview (batch)

92.2

current score

Leader

Gemini 3.1 Pro Preview (batch)

right now

Gemini 4 Argon (batch)

40

current score

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

Gemini 3.1 Pro Preview (batch)

Google

Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00

Gemini 4 Argon (batch)

Google

Best Value
Per request$0.003500
Daily$11.67
Monthly$350.00
Annual$4200.00

Gemini 4 Argon (batch) saves you $50.00/month

That's $600.00/year compared to Gemini 3.1 Pro Preview (batch) at your current usage level of 100K calls/month.

13% cheaper
Choose Gemini 4 Argon (batch) for cost optimization

Gemini 3.1 Pro Preview (batch) pricing:
Input:$1.00/M tokens
Output:$6.00/M tokens
Gemini 4 Argon (batch) pricing:
Input:$1.00/M tokens
Output:$5.00/M tokens
Winner
Gemini 3.1 Pro Preview (batch)

Google

92

Composite Score

Gemini 4 Argon (batch)

Google

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.1 Pro Preview (batch)Gemini 4 Argon (batch)Winner
Overall Score
92
40
Gemini 3.1 Pro Preview (batch)
Rank#14#198
Gemini 3.1 Pro Preview (batch)
Quality Rank#14#198
Gemini 3.1 Pro Preview (batch)
Adoption Rank#14#198
Gemini 3.1 Pro Preview (batch)
Parameters------
Context Window1049K1049K--
Pricing$1.00/$6.00/M$1.00/$5.00/M--
Signal Scores
Capabilities
100
100
Gemini 3.1 Pro Preview (batch)
Benchmarks
92
--
Gemini 3.1 Pro Preview (batch)
Pricing
94
95
Gemini 4 Argon (batch)
Context window size
96
96
Gemini 3.1 Pro Preview (batch)
Recency
87
100
Gemini 4 Argon (batch)
Output Capacity
77
96
Gemini 4 Argon (batch)
Benchmark Head-to-Head(5 benchmarks)
Gemini 3.1: 0Gemini 4: 0
Gemini 3.1
Gemini 4
Normalized 0-100%
MMLU
92.6%-
MMLU-Pro
91.2%-
GPQA Diamond
94.3%-
SWE-bench Verified
80.6%-
Arena Elo
1494-
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 3.1 Pro Preview (batch)Elite Tier

Scores 92/100 (rank #14), placing it in the top 96% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemini 4 Argon (batch)Entry Level

Scores 40/100 (rank #198), placing it in the top 32% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.1 Pro Preview (batch) has a 52-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 3.1 Pro Preview (batch) when you need:

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

Choose Gemini 4 Argon (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.1 Pro Preview (batch)Best Value
Input cost$1.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.076
Est. monthly (1M tokens/day)$105.00
Gemini 4 Argon (batch)
Input cost$1.00/M tokens
Output cost$5.00/M tokens
Cost per quality point$0.150
Est. monthly (1M tokens/day)$90.00

Gemini 3.1 Pro Preview (batch) offers 14% better value per quality point. At 1M tokens/day, you'd spend $90.00/month with Gemini 4 Argon (batch) vs $105.00/month with Gemini 3.1 Pro Preview (batch) - a $15.00 monthly difference.

Latency & Speed
Gemini 3.1 Pro Preview (batch)Faster
Speed score0/100
Gemini 4 Argon (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 3.1 Pro Preview (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 4 Argon (batch) also offers lower per-token costs for high-volume support

Gemini 3.1 Pro Preview (batch)

Long document analysis

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

Gemini 3.1 Pro Preview (batch)

Batch data extraction

Lower output pricing ($5.00/M) reduces costs when processing thousands of records daily

Gemini 4 Argon (batch)

Creative writing & content

Higher overall composite score (92/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.1 Pro Preview (batch)

Image understanding & OCR

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

Gemini 3.1 Pro Preview (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.1 Pro Preview (batch)

Gemini 3.1 Pro Preview (batch) clearly outperforms Gemini 4 Argon (batch) with a significant 52.2-point lead. For most general use cases, Gemini 3.1 Pro Preview (batch) is the stronger choice. However, Gemini 4 Argon (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 Google

  • Choose for Cost - 14% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.1 Pro Preview (batch)Gemini 4 Argon (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 3.1 Pro Preview (batch)

Google

$9.00
estimated monthly cost

Gemini 4 Argon (batch)

Google

Best Value
$7.80
estimated monthly cost

Gemini 4 Argon (batch) saves you $1.20/month

That's 13% cheaper than Gemini 3.1 Pro Preview (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 3.1 Pro Preview (batch)Gemini 4 Argon (batch)
Context Window1.0M1.0M
Max Output Tokens65,536943,718
Open SourceNoNo
CreatedFeb 19, 2026Oct 13, 2026
Last updated: 33m ago

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Gemini 3.1 Pro Preview (batch) vs Gemini 4 Argon (batch) (2026) | LM Market Cap