Verified November 2026

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Gemini 3.1 Pro (Preview) vs Qwen 3 235B

A straight cost comparison of Gemini 3.1 Pro (Preview) (Google Gemini) and Qwen 3 235B (Alibaba (Qwen)), per 1,000,000 tokens, verified November 2026.

$2Gemini 3.1 Pro (Preview) input / 1M
$0.50Qwen 3 235B input / 1M
80%Blended price gap
Qwen 3 235BCheaper blended

Rate-by-rate comparison

USD per 1M tokens · November 2026
MetricGemini 3.1 Pro (Preview)Qwen 3 235BWinner
Input / 1M$2$0.50Qwen 3 235B
Cached input / 1M$0.20$0.05Qwen 3 235B
Cache write / 1M——Tie
Output / 1M$12$2Qwen 3 235B
Context window1,000,000131,072Gemini 3.1 Pro (Preview)
Batch APIYesYesTie
Long-context tier> 200,000None—

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 3.1 Pro (Preview)$5+$4
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.

WorkloadGemini 3.1 Pro (Preview)Qwen 3 235BWinner
Classification
100K reqs · 500 in / 10 out
$112$27Qwen 3 235B
Data extraction
10K reqs · 2K in / 200 out
$64$14Qwen 3 235B
Support chat
1K reqs · 4K in / 600 out
$15.20$3.20Qwen 3 235B
Code review
2K reqs · 8K in / 1.5K out
$68$14Qwen 3 235B
Summarisation
1K reqs · 20K in / 1K out
$52$12Qwen 3 235B
Agent loop
5K reqs · 12K in / 2K out
$240$50Qwen 3 235B
Translation
500 reqs · 15K in / 15K out
$105$18.75Qwen 3 235B
Long-document QA
200 reqs · 120K in / 800 out
$49.92$12.32Qwen 3 235B
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$31.08$6.77Qwen 3 235B
Nightly batch
10K reqs · 10K in / 2K out
$220$45Qwen 3 235B

Gemini 3.1 Pro (Preview) 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 $2 per million input tokens, and $2 vs $12 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 3.1 Pro (Preview)Qwen 3 235BDifference
100$1.52$0.32Qwen 3 235B cheaper by $1.20
1,000$15.20$3.20Qwen 3 235B cheaper by $12
10,000$152$32Qwen 3 235B cheaper by $120
100,000$1,520$320Qwen 3 235B cheaper by $1,200

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 3.1 Pro (Preview)Qwen 3 235BWinner
0%$15.20$3.20Qwen 3 235B
50%$11.60$2.30Qwen 3 235B
80%$9.45$1.76Qwen 3 235B
95%$8.37$1.49Qwen 3 235B

Both models publish a cached-read rate, so the discount is comparable: Gemini 3.1 Pro (Preview) reads cache at $0.20 per million, Qwen 3 235B at $0.05.

Which one should you pick?

Gemini 3.1 Pro (Preview) 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 ($2 vs $0.50); output rate ($12 vs $2); cached-input rate ($0.20 vs $0.05); context window (1,000,000 vs 131,072); long-context tier (yes, above 200,000 vs none).

Batch mode is available on Gemini 3.1 Pro (Preview) and 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 Gemini 3.1 Pro (Preview) cheaper than Qwen 3 235B?

On a blended 1M-input-plus-250K-output workload, Qwen 3 235B is cheaper by 80% ($1 vs $5). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, Gemini 3.1 Pro (Preview) or Qwen 3 235B?

Qwen 3 235B has the larger context window (1,000,000 vs 131,072 tokens). Watch the long-context threshold on Gemini 3.1 Pro (Preview): rates rise once input passes it.

Do both models support prompt caching?

Gemini 3.1 Pro (Preview) bills cached reads at $0.20 per 1M; Qwen 3 235B at $0.05.

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