Verified October 2026

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Gemini 3.5 Flash vs DeepSeek V4 Pro

A straight cost comparison of Gemini 3.5 Flash (Google Gemini) and DeepSeek V4 Pro (DeepSeek), per 1,000,000 tokens, verified October 2026.

$1.50Gemini 3.5 Flash input / 1M
$1.32DeepSeek V4 Pro input / 1M
38%Blended price gap
DeepSeek V4 ProCheaper blended

Rate-by-rate comparison

USD per 1M tokens · October 2026
MetricGemini 3.5 FlashDeepSeek V4 ProWinner
Input / 1M$1.50$1.32DeepSeek V4 Pro
Cached input / 1M$0.15$0.044DeepSeek V4 Pro
Cache write / 1M——Tie
Output / 1M$9$3.96DeepSeek V4 Pro
Context window1,000,0001,000,000Tie
Batch APIYesNoGemini 3.5 Flash
Long-context tierNoneNone—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
Gemini 3.5 Flash$3.75+$1.44
DeepSeek V4 Pro$2.31Cheaper

Ten workloads, two bills

The same two models, priced across ten workloads that differ only in their input:output ratio. Nothing else changes — no retries, no system prompt, no middleware.

WorkloadGemini 3.5 FlashDeepSeek V4 ProWinner
Classification
100K reqs · 500 in / 10 out
$84$69.96DeepSeek V4 Pro
Data extraction
10K reqs · 2K in / 200 out
$48$34.32DeepSeek V4 Pro
Support chat
1K reqs · 4K in / 600 out
$11.40$7.66DeepSeek V4 Pro
Code review
2K reqs · 8K in / 1.5K out
$51$33DeepSeek V4 Pro
Summarisation
1K reqs · 20K in / 1K out
$39$30.36DeepSeek V4 Pro
Agent loop
5K reqs · 12K in / 2K out
$180$119DeepSeek V4 Pro
Translation
500 reqs · 15K in / 15K out
$78.75$39.60DeepSeek V4 Pro
Long-document QA
200 reqs · 120K in / 800 out
$37.44$32.31DeepSeek V4 Pro
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$23.31$12.60DeepSeek V4 Pro
Nightly batch
10K reqs · 10K in / 2K out
$165$211Gemini 3.5 Flash

Gemini 3.5 Flash wins 1 of 10, DeepSeek V4 Pro wins 9 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

DeepSeek V4 Pro is cheaper on both sides of the mix: $1.32 vs $1.50 per million input tokens, and $3.96 vs $9 per million output. No input:output ratio reverses that, so on price alone the other model never becomes the better choice — it has to win on context, latency or output quality.

Cost at four scales

The same support-chat workload (4K input, 600 output per request) at four monthly volumes.

Requests / monthGemini 3.5 FlashDeepSeek V4 ProDifference
100$1.14$0.766DeepSeek V4 Pro cheaper by $0.374
1,000$11.40$7.66DeepSeek V4 Pro cheaper by $3.74
10,000$114$76.56DeepSeek V4 Pro cheaper by $37.44
100,000$1,140$766DeepSeek V4 Pro cheaper by $374

What caching does to each bill

Caching only helps the part of the prompt that repeats. This is the support-chat workload (1,000 requests, 4,000 input tokens each) with an increasing share of that prompt served from a warm cache, written once on the first request.

Cached share of the promptGemini 3.5 FlashDeepSeek V4 ProWinner
0%$11.40$7.66DeepSeek V4 Pro
50%$8.70$5.11DeepSeek V4 Pro
80%$7.08$3.58DeepSeek V4 Pro
95%$6.28$2.81DeepSeek V4 Pro

Both models publish a cached-read rate, so the discount is comparable: Gemini 3.5 Flash reads cache at $0.15 per million, DeepSeek V4 Pro at $0.044.

Which one should you pick?

Gemini 3.5 Flash wins on nightly batch, while DeepSeek V4 Pro wins on classification, data extraction, support chat, code review, summarisation, agent loop, translation, long-document qa, cached rag.

Beyond price, the two differ on input rate ($1.50 vs $1.32); output rate ($9 vs $3.96); cached-input rate ($0.15 vs $0.044); batch support (yes vs no).

Batch mode is available on Gemini 3.5 Flash, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is Gemini 3.5 Flash cheaper than DeepSeek V4 Pro?

On a blended 1M-input-plus-250K-output workload, DeepSeek V4 Pro is cheaper by 38% ($2.31 vs $3.75). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, Gemini 3.5 Flash or DeepSeek V4 Pro?

Both models share the same 1,000,000-token context window. Neither model publishes a long-context surcharge.

Do both models support prompt caching?

Gemini 3.5 Flash bills cached reads at $0.15 per 1M; DeepSeek V4 Pro at $0.044.

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