Compare/Gemini 3.5 Flash (minimal) vs Claude Sonnet 5 (Adaptive Reasoning, Max Effort)

Gemini 3.5 Flash (minimal)vsClaude Sonnet 5 (Adaptive Reasoning, Max Effort)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Google

Gemini 3.5 Flash (minimal)

Input
$1.5/M
Output
$9/M
Speed
154 tok/s
TTFT
0.81s
Anthropic

Claude Sonnet 5 (Adaptive Reasoning, Max Effort)

Input
$2/M
Output
$10/M
Speed
76 tok/s
TTFT
184.48s

Winner by Category

Cheaper
Gemini 3.5 Flash (minimal)
Faster (tok/s)
Gemini 3.5 Flash (minimal)
Lower Latency
Gemini 3.5 Flash (minimal)
Benchmarks (0-2)
Claude Sonnet 5 (Adaptive Reasoning, Max Effort)

Pricing Comparison

MetricGemini 3.5 Flash (minimal)Claude Sonnet 5 (Adaptive Reasoning, Max Effort)
Input ($/M tokens)$1.5$2
Output ($/M tokens)$9$10
Cost for 1M input + 100K output tokens:
Gemini 3.5 Flash (minimal)$2.40
Claude Sonnet 5 (Adaptive Reasoning, Max Effort)$3.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemini 3.5 Flash (minimal)
154 tok/s
Claude Sonnet 5 (Adaptive Reasoning, Max Effort)
76 tok/s
Time to First Token (seconds) — lower is better
Gemini 3.5 Flash (minimal)
0.81s
Claude Sonnet 5 (Adaptive Reasoning, Max Effort)
184.48s

Editorial Analysis

Verdict. Claude Sonnet 5 (Adaptive Reasoning, Max Effort) takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Both models sit in the mid-tier bracket for output-token pricing. At 0.9× the per-million-token cost, Gemini 3.5 Flash (minimal) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemini 3.5 Flash (minimal) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Gemini 3.5 Flash (minimal) is strongest on Intelligence Index (35.8). Claude Sonnet 5 (Adaptive Reasoning, Max Effort) leads on Coding Index (71.5), Intelligence Index (55.3).

Speed. On throughput, Gemini 3.5 Flash (minimal) generates tokens at 154 tok/s versus 76 tok/s — about 51% faster. On time-to-first-token, Gemini 3.5 Flash (minimal) responds in 810ms vs 184480ms, which matters most for chat-style UIs.

Provider. Google and Anthropic sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while Anthropic often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Gemini 3.5 Flash (minimal) costs $180.00 ($2160/year); Claude Sonnet 5 (Adaptive Reasoning, Max Effort) costs $210.00 ($2520/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemini 3.5 Flash (minimal) ≈ $25.50/run, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) ≈ $30.00/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 3.5 Flash (minimal) ≈ $1200/run, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) ≈ $1400/run. Gemini 3.5 Flash (minimal) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Head-to-head deltas

  • On throughput, Gemini 3.5 Flash (minimal) is 2.02× faster (154 tok/s vs 76 tok/s). For streaming chat or real-time agents this alone often flips the recommendation.
  • Time-to-first-token differs by 227.8× — Gemini 3.5 Flash (minimal) responds in 810ms vs 184480ms. For interactive chat UIs this can matter more than raw benchmark wins.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
35.855.3
Coding Index
71.5
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Gemini 3.5 Flash (minimal)0 wins
2 winsClaude Sonnet 5 (Adaptive Reasoning, Max Effort)

Frequently Asked Questions

Which is cheaper, Gemini 3.5 Flash (minimal) or Claude Sonnet 5 (Adaptive Reasoning, Max Effort)?

Gemini 3.5 Flash (minimal) is cheaper overall. Its blended price (3:1 input/output ratio) is $3.38/M tokens vs $4.00/M for Claude Sonnet 5 (Adaptive Reasoning, Max Effort).

Which model performs better on benchmarks?

Claude Sonnet 5 (Adaptive Reasoning, Max Effort) wins 2 out of 12 benchmarks compared to 0 for Gemini 3.5 Flash (minimal). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Gemini 3.5 Flash (minimal) generates tokens faster at 154 tok/s vs 76 tok/s. Gemini 3.5 Flash (minimal) also has lower time-to-first-token (0.81s vs 184.48s).

When should I use Gemini 3.5 Flash (minimal) vs Claude Sonnet 5 (Adaptive Reasoning, Max Effort)?

Choose based on your priorities: Gemini 3.5 Flash (minimal) for lower cost, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) for stronger benchmark performance, and Gemini 3.5 Flash (minimal) for faster generation. For latency-sensitive apps, check the TTFT comparison above.