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Compare/Gemini 3.5 Flash (high) vs o3

Gemini 3.5 Flash (high)vso3

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

Google

Gemini 3.5 Flash (high)

Input
$1.5/M
Output
$9/M
Speed
216 tok/s
TTFT
18.36s
OpenAI

o3

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

Winner by Category

Cheaper
Gemini 3.5 Flash (high)
Faster (tok/s)
Gemini 3.5 Flash (high)
Lower Latency
o3
Benchmarks (2-0)
Gemini 3.5 Flash (high)

Pricing Comparison

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

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemini 3.5 Flash (high)
216 tok/s
o3
144 tok/s
Time to First Token (seconds) — lower is better
Gemini 3.5 Flash (high)
18.36s
o3
4.51s

Editorial Analysis

Verdict. Gemini 3.5 Flash (high) wins the overall benchmark matchup 2–0 across 2 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 (high) is strongest on Coding Index (70.1), Intelligence Index (33.0). o3 leads on Intelligence Index (20.2).

Speed. On throughput, Gemini 3.5 Flash (high) generates tokens at 216 tok/s versus 144 tok/s — about 33% faster. On time-to-first-token, o3 responds in 4510ms vs 18360ms, 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 (high) 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 (high) ≈ $25.50/run, o3 ≈ $26.00/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 3.5 Flash (high) ≈ $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.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
33.020.2
Coding Index
70.1—
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Gemini 3.5 Flash (high)2 wins
0 winso3

Frequently Asked Questions

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

Gemini 3.5 Flash (high) 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 (high) wins 2 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 (high) generates tokens faster at 216 tok/s vs 144 tok/s. However, o3 has lower time-to-first-token (4.51s vs 18.36s).

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

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