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Compare/Olmo 3 32B Think vs Gemini 3.5 Flash (high)

Olmo 3 32B ThinkvsGemini 3.5 Flash (high)

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

Allen Institute for AI

Olmo 3 32B Think

Input
—
Output
—
Speed
—
TTFT
—
Google

Gemini 3.5 Flash (high)

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

Winner by Category

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

Pricing Comparison

MetricOlmo 3 32B ThinkGemini 3.5 Flash (high)
Input ($/M tokens)—$1.5
Output ($/M tokens)—$9
Cost for 1M input + 100K output tokens:
Gemini 3.5 Flash (high)$2.40

Speed Comparison

Output Speed (tokens/s) — higher is better
Olmo 3 32B Think
—
Gemini 3.5 Flash (high)
216 tok/s
Time to First Token (seconds) — lower is better
Olmo 3 32B Think
—
Gemini 3.5 Flash (high)
18.36s

Editorial Analysis

Verdict. Gemini 3.5 Flash (high) 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. Pricing varies significantly between these models — check the table above for the exact per-token rates. Many production workloads actually surface input-token cost (retrieval-augmented prompts, code-context windows), so factor both directions.

Strengths. Olmo 3 32B Think is strongest on Intelligence Index (6.5). Gemini 3.5 Flash (high) leads on Coding Index (70.1), Intelligence Index (33.0).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

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

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
6.533.0
Coding Index
—70.1
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Olmo 3 32B Think0 wins
2 winsGemini 3.5 Flash (high)

Frequently Asked Questions

Which is cheaper, Olmo 3 32B Think or Gemini 3.5 Flash (high)?

Gemini 3.5 Flash (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $3.38/M tokens vs $—/M for Olmo 3 32B Think.

Which model performs better on benchmarks?

Gemini 3.5 Flash (high) wins 2 out of 12 benchmarks compared to 0 for Olmo 3 32B Think. 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 — tok/s. However, Gemini 3.5 Flash (high) has lower time-to-first-token (18.36s vs —s).

When should I use Olmo 3 32B Think vs Gemini 3.5 Flash (high)?

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.