vakati-tech.ai

// head_to_head

Seed-2.0-Code vs Gemini 3.8 Flash

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

Seed-2.0-Code is the cheaper of the two; neither can be ranked on quality here.

Seed-2.0-Code does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

bytedance-seed

Seed-2.0-Code

Blended / 1M
$1.13
Context
262K
Released
Aug 12, 2026
Overall score
Not evaluated
reasoningtool callingimage inputvideo input

google

Gemini 3.8 Flash

Blended / 1M
$1.65
Context
1.0M
Released
Sep 2, 2026
Overall score
59.2
reasoningtool callingimage inputvideo inputfile inputaudio inputprompt caching

Specs and pricing

MetricSeed-2.0-CodeGemini 3.8 Flash
LiveBench overall

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

—59.2
Cost per point

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

—$0.0166
Blended price / 1M

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

$1.13win$1.65
Input price / 1M$0.500win$0.825
Output price / 1M$3.00win$4.13
Cached input / 1M

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

—$0.083
Context window262K1.0Mwin
Max output tokens131Kwin66K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Seed-2.0-Code on top, Gemini 3.8 Flash below, both out of 100.

Long-horizon agentic
—
16.5
Coding
—
82.2
Reasoning
—
89.3
Browser
—
45.1
Data analysis
—
54.0
Research
—
79.1
Documents & design
—
72.7

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.

WorkloadSeed-2.0-CodeGemini 3.8 Flash
Support chatbot

1.2K in / 400 out × 200K requests

$360.00/mo$474.54/mo
RAG assistant

8K in / 600 out × 100K requests

$580.00/mo$610.50/mo
Coding agent

40K in / 4K out × 20K requests

$640.00/mo$574.20/mo
Document extraction

20K in / 1.5K out × 50K requests

$725.00/mo$1,097/mo
Bulk classification

500 in / 20 out × 5M requests

$1,550/mo$2,104/mo
Run these two through the cost calculator

Which should you pick?

You need to fit large documents in one call

Gemini 3.8 Flash

Wider context window — 1.0M against 262K.

You are cost-constrained

Seed-2.0-Code

Cheaper on blended list price at $1.13 per million tokens.

Seed-2.0-Code vs Gemini 3.8 Flash FAQ

Which is better, Seed-2.0-Code or Gemini 3.8 Flash?

Seed-2.0-Code is the cheaper of the two; neither can be ranked on quality here. Seed-2.0-Code does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

Is Seed-2.0-Code cheaper than Gemini 3.8 Flash?

Seed-2.0-Code is cheaper. On a 3:1 input:output blend, Seed-2.0-Code lists at $1.13 per million tokens and Gemini 3.8 Flash at $1.65 — Seed-2.0-Code is 47% cheaper. Input and output are priced separately — Seed-2.0-Code charges $0.500 in and $3.00 out, Gemini 3.8 Flash charges $0.825 and $4.13 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Does Seed-2.0-Code or Gemini 3.8 Flash have a bigger context window?

Gemini 3.8 Flash has the larger context window: 262K for Seed-2.0-Code against 1.0M for Gemini 3.8 Flash. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.

Do Seed-2.0-Code and Gemini 3.8 Flash support prompt caching?

Gemini 3.8 Flash publishes a cached-input rate of $0.083 per million tokens against a full input rate of $0.825. The catalogue lists no separate cached rate for Seed-2.0-Code, 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.
  • Scores — LiveBench release 2026-10-25, 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.