Models

Grok 4.5 vs Qwen3 Max 2026 01-23

Compare Grok 4.5 from Grok and Qwen3 Max 2026 01-23 from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

GrokGrok 4.5QwenQwen3 Max 2026 01-23
Grok logo
Grok 4.5
Grok · text, image → text

Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.

Input$2.00 /M
Output$6.00 /M
Qwen logo
Qwen3 Max 2026 01-23
Qwen · text → text

The snapshot version of the Tongyi Qianwen 3 series Max model is from January 23, 2026. By default, it does not require thinking, but thinking mode can be enabled through the enable_thinking parameter, as detailed in the code example. (After enabling thinking by passing parameters, it becomes: Qwen3-Max-Thinking). This model has a total parameter count exceeding one trillion (1T) and a pre-training data volume of up to 36T Tokens, making it the largest and most powerful reasoning model from Alibaba to date.

Input$0.45 /M
Output$1.80 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Grok 4.5
Qwen3 Max 2026 01-23
Input /M
$2.00
$0.45
Output /M
$6.00
$1.80
Cache read /M
$0.50
$0.09
Context length
500,000
252,000
Max output
500,000
32,000
Time to First Token
1.5 s
0.9 s
Throughput
25.4 tok/s
31.3 tok/s
Modalities
textimage
text
Supported Parameters
thinkingtoolsfunction callingstructured outputslong context
thinkingfunction callingstructured outputs
API Formats
Released
July 2026
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Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

grok-4.5qwen3-max-2026-01-23

Tokens / day

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Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

grok-4.5qwen3-max-2026-01-23

Throughput (tok/s)

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TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
grok-4.5qwen3-max-2026-01-23
1360142014801540
Overall
14241470
Coding
14751523
Math
14301478
Hard prompts
14481495
Instruction following
14161466
Multi-turn
14501477
Creative writing
13941449
Longer query
14331485
Chinese
14401511
English
14341475

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3 Max 2026 01-23
$54.10 /mo
Grok 4.5
$210 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Grok 4.5, Qwen3 Max 2026 01-23?

Qwen3 Max 2026 01-23: $1.80/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Grok 4.5: 1523; Qwen3 Max 2026 01-23: 1475 (LMArena coding leaderboard).

Which responds faster?

Qwen3 Max 2026 01-23: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Grok 4.5 accepts 500,000 and Qwen3 Max 2026 01-23 accepts 252,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 32,000 tokens on Qwen3 Max 2026 01-23.

Which one generates tokens faster?

Qwen3 Max 2026 01-23 at 31.3 tok/s and Grok 4.5 at 25.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen3 Max 2026 01-23 accepts text input and supports thinking, function calling and structured outputs.

Can I call Grok 4.5 and Qwen3 Max 2026 01-23 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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