Verified November 2026

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DeepSeek V4.1 Flash vs Qwen 3 32B

A straight cost comparison of DeepSeek V4.1 Flash (DeepSeek) and Qwen 3 32B (Alibaba (Qwen)), per 1,000,000 tokens, verified November 2026.

$0.30DeepSeek V4.1 Flash input / 1M
$0.15Qwen 3 32B input / 1M
50%Blended price gap
Qwen 3 32BCheaper blended

Rate-by-rate comparison

USD per 1M tokens · November 2026
MetricDeepSeek V4.1 FlashQwen 3 32BWinner
Input / 1M$0.30$0.15Qwen 3 32B
Cached input / 1M$0.006$0.015DeepSeek V4.1 Flash
Cache write / 1M——Tie
Output / 1M$1.20$0.60Qwen 3 32B
Context window1,100,000131,072DeepSeek V4.1 Flash
Batch APINoYesQwen 3 32B
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
DeepSeek V4.1 Flash$0.60+$0.30
Qwen 3 32B$0.30Cheaper

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.

WorkloadDeepSeek V4.1 FlashQwen 3 32BWinner
Classification
100K reqs · 500 in / 10 out
$16.20$8.10Qwen 3 32B
Data extraction
10K reqs · 2K in / 200 out
$8.40$4.20Qwen 3 32B
Support chat
1K reqs · 4K in / 600 out
$1.92$0.96Qwen 3 32B
Code review
2K reqs · 8K in / 1.5K out
$8.40$4.20Qwen 3 32B
Summarisation
1K reqs · 20K in / 1K out
$7.20$3.60Qwen 3 32B
Agent loop
5K reqs · 12K in / 2K out
$30$15Qwen 3 32B
Translation
500 reqs · 15K in / 15K out
$11.25$5.63Qwen 3 32B
Long-document QA
200 reqs · 120K in / 800 out
$7.39$3.70Qwen 3 32B
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$2.98$2.03Qwen 3 32B
Nightly batch
10K reqs · 10K in / 2K out
$54$13.50Qwen 3 32B

DeepSeek V4.1 Flash wins 0 of 10, Qwen 3 32B wins 10 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

Qwen 3 32B is cheaper on both sides of the mix: $0.15 vs $0.30 per million input tokens, and $0.60 vs $1.20 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 / monthDeepSeek V4.1 FlashQwen 3 32BDifference
100$0.192$0.096Qwen 3 32B cheaper by $0.096
1,000$1.92$0.96Qwen 3 32B cheaper by $0.96
10,000$19.20$9.60Qwen 3 32B cheaper by $9.60
100,000$192$96Qwen 3 32B cheaper by $96

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 promptDeepSeek V4.1 FlashQwen 3 32BWinner
0%$1.92$0.96Qwen 3 32B
50%$1.33$0.69Qwen 3 32B
80%$0.98$0.528Qwen 3 32B
95%$0.804$0.448Qwen 3 32B

Both models publish a cached-read rate, so the discount is comparable: DeepSeek V4.1 Flash reads cache at $0.006 per million, Qwen 3 32B at $0.015.

Which one should you pick?

DeepSeek V4.1 Flash wins on none of the ten workloads above, while Qwen 3 32B wins on classification, data extraction, support chat, code review, summarisation, agent loop, translation, long-document qa, cached rag, nightly batch.

Beyond price, the two differ on input rate ($0.30 vs $0.15); output rate ($1.20 vs $0.60); cached-input rate ($0.006 vs $0.015); context window (1,100,000 vs 131,072); batch support (no vs yes).

Batch mode is available on Qwen 3 32B, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is DeepSeek V4.1 Flash cheaper than Qwen 3 32B?

On a blended 1M-input-plus-250K-output workload, Qwen 3 32B is cheaper by 50% ($0.30 vs $0.60). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, DeepSeek V4.1 Flash or Qwen 3 32B?

Qwen 3 32B has the larger context window (1,100,000 vs 131,072 tokens). Neither model publishes a long-context surcharge.

Do both models support prompt caching?

DeepSeek V4.1 Flash bills cached reads at $0.006 per 1M; Qwen 3 32B at $0.015.

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