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Claude Sonnet 4.5 (batch) vs Gemini 3.6 Flash

Signal-by-Signal Comparison
SignalClaude Sonnet 4.5 (batch)DeltaGemini 3.6 Flash
Capabilities
100
--
100
Benchmarks
82
+4
78
Pricing
93
--
93
Context window size
95
0
96
Recency
78
-22
100
Output Capacity
80
0
80
Overall Result
1 wins
of 6
3 wins
Gemini 3.6 Flash wins 3 of 6 signals

Score History

Score History (2 data points)
Claude Sonnet 4.5 (batch)Gemini 3.6 Flash
Claude Sonnet 4.5 (batch)

82.4

current score

Leader

Claude Sonnet 4.5 (batch)

right now

Gemini 3.6 Flash

79.6

current score

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

Claude Sonnet 4.5 (batch)

Anthropic

Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

Gemini 3.6 Flash

Google

Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00
Claude Sonnet 4.5 (batch) pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
Gemini 3.6 Flash pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
Winner
Claude Sonnet 4.5 (batch)

Anthropic

82

Composite Score

Gemini 3.6 Flash

Google

80

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 4.5 (batch)Gemini 3.6 FlashWinner
Overall Score
82
80
Claude Sonnet 4.5 (batch)
Rank#64#73
Claude Sonnet 4.5 (batch)
Quality Rank#64#73
Claude Sonnet 4.5 (batch)
Adoption Rank#64#73
Claude Sonnet 4.5 (batch)
Parameters------
Context Window1000K1049K
Gemini 3.6 Flash
Pricing$1.50/$7.50/M$1.50/$7.50/M--
Signal Scores
Capabilities
100
100
Claude Sonnet 4.5 (batch)
Benchmarks
82
78
Claude Sonnet 4.5 (batch)
Pricing
93
93
Claude Sonnet 4.5 (batch)
Context window size
95
96
Gemini 3.6 Flash
Recency
78
100
Gemini 3.6 Flash
Output Capacity
80
80
Gemini 3.6 Flash
Benchmark Head-to-Head(12 benchmarks)
Claude Sonnet: 0Gemini 3.6: 1
Claude Sonnet
Gemini 3.6
Normalized 0-100%
MMLU
90.8%-
MMLU-Pro
76.5%-
GPQA Diamond
83.4%-
MATH-500
83%-
HumanEval
94.5%-
SWE-bench Verified
77.2%-
AIME 2024
60%-
IFEval
90.2%-
BBH
88.5%-
Arena Elo
14521482
LiveBench
70.5%-
HLE
13.72%-
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.

Claude Sonnet 4.5 (batch)Strong Performer

Scores 82/100 (rank #64), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemini 3.6 FlashStrong Performer

Scores 80/100 (rank #73), placing it in the top 75% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 3-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 Claude Sonnet 4.5 (batch) when you need:

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

Choose Gemini 3.6 Flash when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Sonnet 4.5 (batch)Best Value
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.109
Est. monthly (1M tokens/day)$135.00
Gemini 3.6 Flash
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.113
Est. monthly (1M tokens/day)$135.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Claude Sonnet 4.5 (batch)Faster
Speed score0/100
Gemini 3.6 Flash
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

Claude Sonnet 4.5 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Claude Sonnet 4.5 (batch) also offers lower per-token costs for high-volume support

Claude Sonnet 4.5 (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 data extraction

Lower output pricing ($7.50/M) reduces costs when processing thousands of records daily

Claude Sonnet 4.5 (batch)

Creative writing & content

Higher overall composite score (82/100) correlates with better nuance, coherence, and style in long-form content

Claude Sonnet 4.5 (batch)

Image understanding & OCR

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

Claude Sonnet 4.5 (batch)
Which Should You Choose?
Our recommendation:
Claude Sonnet 4.5 (batch)

Claude Sonnet 4.5 (batch) and Gemini 3.6 Flash are extremely close in overall performance (only 2.8000000000000114 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 0% 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 Google

Consider for specialized use cases.

Capability Comparison
CapabilityClaude Sonnet 4.5 (batch)Gemini 3.6 Flash
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)

Claude Sonnet 4.5 (batch)

Anthropic

$11.70
estimated monthly cost

Gemini 3.6 Flash

Google

$11.70
estimated monthly cost

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterClaude Sonnet 4.5 (batch)Gemini 3.6 Flash
Context Window1M1.0M
Max Output Tokens64,00065,536
Open SourceNoNo
CreatedSep 29, 2025Jul 21, 2026
Last updated: 53m ago

相关对比

Claude Sonnet 4.5 (batch) vs Gemini 3.6 Flash (2026) | LM Market Cap