Compare/Molmo 7B-D vs Gemini 3.5 Flash (high)

Molmo 7B-DvsGemini 3.5 Flash (high)

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

Allen Institute for AI

Molmo 7B-D

Input
Output
Speed
TTFT
Google

Gemini 3.5 Flash (high)

Input
$1.5/M
Output
$9/M
Speed
171 tok/s
TTFT
27.29s

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

MetricMolmo 7B-DGemini 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
Molmo 7B-D
Gemini 3.5 Flash (high)
171 tok/s
Time to First Token (seconds) — lower is better
Molmo 7B-D
Gemini 3.5 Flash (high)
27.29s

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. Molmo 7B-D is strongest on Intelligence Index (3.4). Gemini 3.5 Flash (high) leads on Coding Index (70.1), Intelligence Index (52.0).

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
3.452.0
Coding Index
70.1
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Molmo 7B-D0 wins
2 winsGemini 3.5 Flash (high)

Frequently Asked Questions

Which is cheaper, Molmo 7B-D 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 Molmo 7B-D.

Which model performs better on benchmarks?

Gemini 3.5 Flash (high) wins 2 out of 12 benchmarks compared to 0 for Molmo 7B-D. 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 — tok/s. However, Gemini 3.5 Flash (high) has lower time-to-first-token (27.29s vs —s).

When should I use Molmo 7B-D 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.