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
171 tok/s
TTFT
27.29s
OpenAI

o3

Input
$2/M
Output
$8/M
Speed
112 tok/s
TTFT
8.31s

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)
171 tok/s
o3
112 tok/s
Time to First Token (seconds) — lower is better
Gemini 3.5 Flash (high)
27.29s
o3
8.31s

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 (52.0). o3 leads on Intelligence Index (31.1).

Speed. On throughput, Gemini 3.5 Flash (high) generates tokens at 171 tok/s versus 112 tok/s — about 34% faster. On time-to-first-token, o3 responds in 8310ms vs 27290ms, 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.

Head-to-head deltas

  • On throughput, Gemini 3.5 Flash (high) is 1.52× faster (171 tok/s vs 112 tok/s). For streaming chat or real-time agents this alone often flips the recommendation.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
52.031.1
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 171 tok/s vs 112 tok/s. However, o3 has lower time-to-first-token (8.31s vs 27.29s).

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.