Verified November 2026

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DeepSeek V4 Pro vs Qwen 3 235B

A straight cost comparison of DeepSeek V4 Pro (DeepSeek) and Qwen 3 235B (Alibaba (Qwen)), per 1,000,000 tokens, verified November 2026.

$1.32DeepSeek V4 Pro input / 1M
$0.50Qwen 3 235B input / 1M
57%Blended price gap
Qwen 3 235BCheaper blended

Rate-by-rate comparison

USD per 1M tokens · November 2026
MetricDeepSeek V4 ProQwen 3 235BWinner
Input / 1M$1.32$0.50Qwen 3 235B
Cached input / 1M$0.044$0.05DeepSeek V4 Pro
Cache write / 1M——Tie
Output / 1M$3.96$2Qwen 3 235B
Context window1,000,000131,072DeepSeek V4 Pro
Batch APINoYesQwen 3 235B
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 Pro$2.31+$1.31
Qwen 3 235B$1Cheaper

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 ProQwen 3 235BWinner
Classification
100K reqs · 500 in / 10 out
$69.96$27Qwen 3 235B
Data extraction
10K reqs · 2K in / 200 out
$34.32$14Qwen 3 235B
Support chat
1K reqs · 4K in / 600 out
$7.66$3.20Qwen 3 235B
Code review
2K reqs · 8K in / 1.5K out
$33$14Qwen 3 235B
Summarisation
1K reqs · 20K in / 1K out
$30.36$12Qwen 3 235B
Agent loop
5K reqs · 12K in / 2K out
$119$50Qwen 3 235B
Translation
500 reqs · 15K in / 15K out
$39.60$18.75Qwen 3 235B
Long-document QA
200 reqs · 120K in / 800 out
$32.31$12.32Qwen 3 235B
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$12.60$6.77Qwen 3 235B
Nightly batch
10K reqs · 10K in / 2K out
$211$45Qwen 3 235B

DeepSeek V4 Pro wins 0 of 10, Qwen 3 235B 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 235B is cheaper on both sides of the mix: $0.50 vs $1.32 per million input tokens, and $2 vs $3.96 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 ProQwen 3 235BDifference
100$0.766$0.32Qwen 3 235B cheaper by $0.446
1,000$7.66$3.20Qwen 3 235B cheaper by $4.46
10,000$76.56$32Qwen 3 235B cheaper by $44.56
100,000$766$320Qwen 3 235B cheaper by $446

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 ProQwen 3 235BWinner
0%$7.66$3.20Qwen 3 235B
50%$5.11$2.30Qwen 3 235B
80%$3.58$1.76Qwen 3 235B
95%$2.81$1.49Qwen 3 235B

Both models publish a cached-read rate, so the discount is comparable: DeepSeek V4 Pro reads cache at $0.044 per million, Qwen 3 235B at $0.05.

Which one should you pick?

DeepSeek V4 Pro wins on none of the ten workloads above, while Qwen 3 235B 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 ($1.32 vs $0.50); output rate ($3.96 vs $2); cached-input rate ($0.044 vs $0.05); context window (1,000,000 vs 131,072); batch support (no vs yes).

Batch mode is available on Qwen 3 235B, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is DeepSeek V4 Pro cheaper than Qwen 3 235B?

On a blended 1M-input-plus-250K-output workload, Qwen 3 235B is cheaper by 57% ($1 vs $2.31). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, DeepSeek V4 Pro or Qwen 3 235B?

Qwen 3 235B has the larger context window (1,000,000 vs 131,072 tokens). Neither model publishes a long-context surcharge.

Do both models support prompt caching?

DeepSeek V4 Pro bills cached reads at $0.044 per 1M; Qwen 3 235B at $0.05.

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