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  5. Grok 4.3vsQwen3.5 122B A10B
Updated May 2026

Grok 4.3vsQwen3.5 122B A10B

Qwen3.5 122B A10B is cheaper than Grok 4.3 at $0.4/M vs $1.25/M input tokens.

Grok 4.3 and Qwen3.5 122B A10B compared across 53 shared prompts
SpecGrok 4.3Qwen3.5 122B A10B
Input price$1.25/M tokens$0.4/M tokens
Output price$2.5/M tokens$3.2/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMay 2026Feb 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Grok 4.3407 words
Alright, so I decided this year I was finally going to become one of those organized people. You know, the ones who meal prep on Sundays and have matching Tupperware. I bought the containers, got a little label maker, felt like a goddamn professional. Cooked enough chicken and rice to feed a small army.
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Qwen3.5 122B A10B422 words
(Walks to the mic, adjusts the stand, takes a deep breath) How's everyone doing tonight? Good? Good. I need to talk about the modern grocery store experience. specifically, the self-checkout machine. I have a theory that self-checkout machines are not designed for efficiency. They are designed for humiliation.
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

Grok 4.3164 words
Step-by-step estimation: GPT-3 has 175 billion parameters, so (N = 1.75 \times 10^{11}). Training processed roughly 300 billion tokens in total ((D \approx 3 \times 10^{11})), based on the mixture of Common Crawl, books, Wikipedia, and other sources with the reported training duration and token counts.
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Qwen3.5 122B A10B531 words
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to rely on the known architectural hyperparameters of the model and the standard computational scaling laws established in deep learning literature (specifically from the "Scaling Laws for Neural Language Models" paper by…
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Grok 4.31,173 words
Technological Acceleration (1920–1939) The transistor’s 1920 invention (assume U.S./Bell Labs context for continuity with real history, with rapid diffusion to Western Europe) replaces bulky, fragile vacuum tubes decades earlier. Key first-order effects: Radio and telephony miniaturize and cheapen immediately.
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Qwen3.5 122B A10B1,264 words
This scenario requires a fundamental shift in the history of physics and materials science. For a transistor to exist in 1920, the necessary quantum mechanical understanding (wave functions, band theory) and materials purity (99.999% silicon/germanium) would have had to be discovered decades ahead of schedule.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Grok 4.3379 words
1) Year-by-Year LBO Table (FY2026–FY2030, $m) FY2026 Revenue: 972 EBITDA: 136.08 Term cash interest: 43.2 (9% × 480) Mezz cash interest: 21.6 (12% × 180) Cash taxes: 17.82 (25% × (136.08 – 64.8)) Capex: 29.16 ΔNWC: 0.36 FCF after debt service (after mandatory amort): 19.14 Ending Term Loan: 456.06 Ending Mezz…
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Qwen3.5 122B A10B478 words
Investment Summary & Entry Economics Item Calculation Value ($m) Entry EBITDA FY2025 Actual 120.0 Entry EV 12.0x EBITDA 1,440.0 Transaction Fees 2.0% of EV 28.8 Total Uses EV + Fees 1,468.8 Total Debt 5.5x EBITDA (4.0x TL, 1.5x Mez) 660.0 Equity Check Uses - Debt 808.8 Debt Structure at Close: Term Loan: $480.0m (9.0%…
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Grok 4.31,006 words
Immediate priority: Patient safety and regulatory compliance. The signal for liver failure (serious, life-threatening adverse event) triggers obligations under FDA post-marketing requirements (21 CFR 314.80/600.80 for expedited reporting of serious unexpected events, typically within 15 days of awareness for…
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Qwen3.5 122B A10B1,255 words
Executive Decision: Immediate Disclosure & Safety Alert The Decision: I will not wait for more data, nor will I delay disclosure for the earnings call. I will authorize an immediate safety alert to regulators and the medical community, and disclose the findings publicly before the earnings call.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Grok 4.3161 words
Pirate: Arrr, what be these "AI models" the scallywags keep yappin' about? Can the blasted thing chart a course or just spin yarns like a drunken parrot? Knight: Verily, 'tis a strange sorcery. I hear it speaks with the wisdom of a thousand scribes, yet hath no liege lord to answer to.
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Qwen3.5 122B A10B449 words
Setting: A dimly lit tavern that exists outside of time. A bulky CRT monitor hums in the corner. A 1990s hacker (Zer0) types furiously. A Pirate (Captain Blackwood) sharpens a cutlass. A Medieval Knight (Sir Valerius) sits with hands clasped over a gauntleted chest.
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Our Verdict
Grok 4.3
Grok 4.3
Qwen3.5 122B A10B
Qwen3.5 122B A10BRunner-up

Not enough votes to call it. On the specs, Grok 4.3 has the edge: newer, bigger context window, major provider backing.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Grok 4.3
Input
$1.25
Output
$2.50
1.3× cheaper
Qwen3.5 122B A10B
Input
$0.40
3.1× cheaper
Output
$3.20

Qwen3.5 122B A10B wins input (3.1× cheaper)·Grok 4.3 wins output (1.3× cheaper)

Where to run it

6 hosts, cheapest first

Grok 4.31 host
HostInOutContextUptime
xAI$1.25 in·$2.50 out·1M·99.9% up
Qwen3.5 122B A10B5 hosts
HostInOutContextUptime
Alibaba Cloud$0.26 in·$2.08 out·262k·97% upSSiliconFlowfp8$0.26 in·$2.08 out·262k·93.6% upDDeepInfrafp4$0.29 in·$2.40 out·262k·99.9% upAAtlasCloudfp8$0.30 in·$2.40 out·262k·99.4% upNNovitabf16$0.40 in·$3.20 out·262k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
39%

Qwen3.5 122B A10B uses 10.4x more emoji

Grok 4.3
Qwen3.5 122B A10B
62%Vocabulary49%
16wSentence Length15w
0.46Hedging0.29
2.3Bold6.2
2.5Lists4.8
0.00Emoji0.10
0.34Headings0.88
0.14Transitions0.20
Based on 27 + 24 text responses
Research

What we learned reading every model

FAQ

Common questions

Grok 4.3 is developed by xAI while Qwen3.5 122B A10B is developed by Qwen. Grok 4.3 has a 1.0M token context window vs Qwen3.5 122B A10B's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

It depends on your use case. Grok 4.3 and Qwen3.5 122B A10B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

Grok 4.3 costs $1.25/M input tokens and Qwen3.5 122B A10B costs $0.4/M input tokens. Qwen3.5 122B A10B is $0.85/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of Grok 4.3 and Qwen3.5 122B A10B across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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Model pages

Grok 4.3 logo
Grok 4.358 outputs, specs and price
Qwen3.5 122B A10B logo
Qwen3.5 122B A10B53 outputs, specs and price
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