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  5. Gemini 2.5 Pro Preview 06-05vsQwen3 235B A22B 2507
Updated Jul 2025

Gemini 2.5 Pro Preview 06-05vsQwen3 235B A22B 2507

Qwen3 235B A22B 2507 is cheaper than Gemini 2.5 Pro Preview 06-05 at $0.00015/M vs $1.25/M input tokens.

Gemini 2.5 Pro Preview 06-05 and Qwen3 235B A22B 2507 compared across 30 shared prompts
SpecGemini 2.5 Pro Preview 06-05Qwen3 235B A22B 2507
Input price$1.25/M tokens$0.00015/M tokens
Output price$10/M tokens$0.00085/M tokens
Context window1.0M tokens—
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJun 2025Jul 2025
Our Verdict
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05
Qwen3 235B A22B 2507
Qwen3 235B A22B 2507

Not enough votes to call it. On the specs, nothing separates them.

Qwen3 235B A22B 2507 costs 11765x less per token.

Too close to call
API pricing

Cost per 1M tokens

Gemini 2.5 Pro Preview 06-05
Input
$1.25
Output
$10.00
Qwen3 235B A22B 2507
Input
$0.000
8333× cheaper
Output
$0.001
11765× cheaper

Qwen3 235B A22B 2507 is cheaper on both: 8333× input, 11765× output.

Where to run it

12 hosts, cheapest first

Gemini 2.5 Pro Preview 06-052 hosts
HostInOutContextUptime
Google AI Studio$0.63 in·$5.00 out·1M·99.8% upGoogle Vertex AI$1.25 in·$10.00 out·1M·94.6% up
Qwen3 235B A22B 250710 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.09 in·$0.35 out·262k·97.4% upDDeepInfrafp8$0.09 in·$0.55 out·262k·93.4% upNNovitafp8$0.09 in·$0.58 out·131k·97.9% upPParasailfp8$0.14 in·$0.80 out·131k·99.6% upAlibaba Cloud$0.15 in·$0.60 out·131k·100% upAAtlasCloudfp8$0.20 in·$0.88 out·131k·99% up
4 more hostsFewer hosts
SStreamLake$0.21 in·$0.84 out·128k·98.7% upGoogle Vertex AI$0.22 in·$0.88 out·262k·99.7% upVVenicefp8degraded$0.15 in·$0.75 out·128k·92.7% upNNebiusfp8degraded$0.20 in·$0.60 out·262k·76.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.

Writing DNA

Style Comparison

Similarity
51%

Qwen3 235B A22B 2507 uses 44.8x more emoji

Gemini 2.5 Pro Preview 06-05
Qwen3 235B A22B 2507
51%Vocabulary57%
15wSentence Length18w
0.31Hedging0.40
4.8Bold5.9
4.1Lists4.8
0.00Emoji0.45
0.98Headings1.07
0.05Transitions0.11
Based on 20 + 18 text responses
Research

What we learned reading every model

FAQ

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