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  5. Llama 4 MaverickvsQwen3 235B A22B 2507
Updated Jul 2025

Llama 4 MaverickvsQwen3 235B A22B 2507

Qwen3 235B A22B 2507 is cheaper than Llama 4 Maverick at $0.00015/M vs $1.5/M input tokens.

Llama 4 Maverick and Qwen3 235B A22B 2507 compared across 36 shared prompts
SpecLlama 4 MaverickQwen3 235B A22B 2507
Input price$1.5/M tokens$0.00015/M tokens
Output price$2.5/M tokens$0.00085/M tokens
Context window1.0M tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2025Jul 2025
Our Verdict
Llama 4 Maverick
Llama 4 Maverick
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 2941x less per token.

Too close to call
API pricing

Cost per 1M tokens

Llama 4 Maverick
Input
$1.50
Output
$2.50
Qwen3 235B A22B 2507
Input
$0.000
10000× cheaper
Output
$0.001
2941× cheaper

Qwen3 235B A22B 2507 is cheaper on both: 10000× input, 2941× output.

Where to run it

15 hosts, cheapest first

Llama 4 Maverick5 hosts
HostInOutContextUptime
DDigitalOcean$0.20 in·$0.70 out·128k·99.6% upDDeepInfrafp8$0.20 in·$0.80 out·1M·99.8% upNNovitafp8$0.27 in·$0.85 out·1M·99.6% upPParasailfp8$0.35 in·$1.00 out·524k·99.9% upGoogle Vertex AI$0.35 in·$1.15 out·524k·99.9% 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
47%

Qwen3 235B A22B 2507 uses 44.8x more emoji

Llama 4 Maverick
Qwen3 235B A22B 2507
49%Vocabulary57%
20wSentence Length18w
0.63Hedging0.40
2.8Bold5.9
3.8Lists4.8
0.00Emoji0.45
0.65Headings1.07
0.09Transitions0.11
Based on 26 + 18 text responses
Research

What we learned reading every model

FAQ

Common questions

Keep exploring

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