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Compare/Gemini 3.5 Flash (minimal) vs o3

Gemini 3.5 Flash (minimal)vso3

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
207 tok/s
TTFT
0.84s
OpenAI

o3

Input
$2/M
Output
$8/M
Speed
144 tok/s
TTFT
4.51s

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 (1-0)
Gemini 3.5 Flash (minimal)

Pricing Comparison

MetricGemini 3.5 Flash (minimal)o3
Input ($/M tokens)$1.5$2
Output ($/M tokens)$9$8
Cost for 1M input + 100K output tokens:
Gemini 3.5 Flash (minimal)$2.40
o3$2.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemini 3.5 Flash (minimal)
207 tok/s
o3
144 tok/s
Time to First Token (seconds) — lower is better
Gemini 3.5 Flash (minimal)
0.84s
o3
4.51s

Editorial Analysis

Verdict. Gemini 3.5 Flash (minimal) wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Both models sit in the mid-tier bracket for output-token pricing. At 1.1× the per-million-token cost, o3 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). o3 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 (23.8). o3 leads on Intelligence Index (20.2).

Speed. On throughput, Gemini 3.5 Flash (minimal) generates tokens at 207 tok/s versus 144 tok/s — about 30% faster. On time-to-first-token, Gemini 3.5 Flash (minimal) responds in 840ms vs 4510ms, which matters most for chat-style UIs.

Provider. Google and OpenAI sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while OpenAI 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); o3 costs $180.00 ($2160/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemini 3.5 Flash (minimal) ≈ $25.50/run, o3 ≈ $26.00/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 3.5 Flash (minimal) ≈ $1200/run, o3 ≈ $1200/run.

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

  • Time-to-first-token differs by 5.4× — Gemini 3.5 Flash (minimal) responds in 840ms vs 4510ms. For interactive chat UIs this can matter more than raw benchmark wins.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.820.2
Coding Index
——
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Gemini 3.5 Flash (minimal)1 wins
0 winso3

Frequently Asked Questions

Which is cheaper, Gemini 3.5 Flash (minimal) or o3?

Gemini 3.5 Flash (minimal) is cheaper overall. Its blended price (3:1 input/output ratio) is $3.38/M tokens vs $3.50/M for o3.

Which model performs better on benchmarks?

Gemini 3.5 Flash (minimal) wins 1 out of 12 benchmarks compared to 0 for o3. 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 207 tok/s vs 144 tok/s. Gemini 3.5 Flash (minimal) also has lower time-to-first-token (0.84s vs 4.51s).

When should I use Gemini 3.5 Flash (minimal) vs o3?

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