// head_to_head

Gemini 3.5 Flash vs Ox Alpha

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

Gemini 3.5 Flash scores higher, Ox Alpha costs less — it depends on your workload.

Gemini 3.5 Flash is ahead by 5.4 points overall, and Ox Alpha lists at a lower blended price. Whether 5.4 points is worth that depends on how much a wrong answer costs you. Ox Alpha also leads on measured cost per point of capability, at $0.0000 per point.

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Gemini 3.5 Flash

Blended / 1M
$3.38
Context
1.0M
Released
May 19, 2026
Overall score
74.6
reasoningtool callingimage inputvideo inputfile inputaudio inputprompt caching

stealth

Ox Alpha

Blended / 1M
Free
Context
1.0M
Released
Aug 20, 2026
Overall score
69.2
reasoningtool callingimage inputvideo input

Specs and pricing

MetricGemini 3.5 FlashOx Alpha
LiveBench overall

Mean of the seven LiveBench category scores, 0–100. Higher is better.

74.6win69.2
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

$0.1357$0.0000win
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

$3.38Freewin
Input price / 1M$1.50Freewin
Output price / 1M$9.00Freewin
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

$0.150
Context window1.0M1.0M
Max output tokens66K131Kwin

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Gemini 3.5 Flash on top, Ox Alpha below, both out of 100.

Agentic coding
49.0
52.6
Coding
78.2
75.8
Reasoning
82.0
76.6
Mathematics
88.2
77.5
Data analysis
64.9
75.8
Language
84.6
66.1
Instruction following
75.6
60.3

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

WorkloadGemini 3.5 FlashOx Alpha
Support chatbot

1.2K in / 400 out × 200K requests

$982.80/mo$0/mo
RAG assistant

8K in / 600 out × 100K requests

$1200.00/mo$0/mo
Coding agent

40K in / 4K out × 20K requests

$1164.00/mo$0/mo
Document extraction

20K in / 1.5K out × 50K requests

$2107.50/mo$0/mo
Bulk classification

500 in / 20 out × 5M requests

$3975.00/mo$0/mo
Run these two through the cost calculator

Which should you pick?

You are running this at volume

Ox Alpha

Lowest measured cost per point of capability at $0.0000 per point — the gap compounds with every request.

Quality matters more than the bill

Gemini 3.5 Flash

Highest overall LiveBench score of the two at 74.6.

The workload is coding or agentic work

Ox Alpha

Leads on agentic coding — 52.6 against 49.0.

Gemini 3.5 Flash vs Ox Alpha FAQ

Which is better, Gemini 3.5 Flash or Ox Alpha?

Gemini 3.5 Flash scores higher, Ox Alpha costs less — it depends on your workload. Gemini 3.5 Flash is ahead by 5.4 points overall, and Ox Alpha lists at a lower blended price. Whether 5.4 points is worth that depends on how much a wrong answer costs you. Ox Alpha also leads on measured cost per point of capability, at $0.0000 per point.

Is Gemini 3.5 Flash cheaper than Ox Alpha?

Ox Alpha is cheaper. On a 3:1 input:output blend, Gemini 3.5 Flash lists at $3.38 per million tokens and Ox Alpha at Free. Input and output are priced separately — Gemini 3.5 Flash charges $1.50 in and $9.00 out, Ox Alpha charges Free and Free — so the model that looks cheaper flips depending on how output-heavy your workload is.

Gemini 3.5 Flash vs Ox Alpha: which scores higher on benchmarks?

Gemini 3.5 Flash scores 74.6 and Ox Alpha scores 69.2 overall on LiveBench, the mean of its seven categories. That is a 5.4-point lead for Gemini 3.5 Flash. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.

Which gives better value for money, Gemini 3.5 Flash or Ox Alpha?

Ox Alpha. Cost per point divides the measured dollars LiveBench spent running the benchmark by the score it earned, so it captures something token pricing misses: a reasoning model can emit many times more tokens than its per-token rate suggests. Gemini 3.5 Flash works out at $0.1357 per point and Ox Alpha at $0.0000.

Does Gemini 3.5 Flash or Ox Alpha have a bigger context window?

They are effectively the same — 1.0M for Gemini 3.5 Flash and 1.0M for Ox Alpha.

Do Gemini 3.5 Flash and Ox Alpha support prompt caching?

Gemini 3.5 Flash publishes a cached-input rate of $0.150 per million tokens against a full input rate of $1.50. The catalogue lists no separate cached rate for Ox Alpha, which means the provider does not price it separately here — not that caching is unavailable.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • ScoresLiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.