Models

Grok 4.5 vs Qwen3 VL Flash 2026 01-22

Compare Grok 4.5 from Grok and Qwen3 VL Flash 2026 01-22 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 VL Flash 2026 01-22
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 /M
Output$6 /M
Cache read$0.5 /M
Qwen logo
Qwen3 VL Flash 2026 01-22
Qwen · text, image, video → text

The Qwen3 series of compact visual-understanding models achieves an effective fusion of thinking mode and non-thinking mode, outperforming the open-source Qwen3-VL-30B-A3B with faster response speeds. It comprehensively upgrades image and video understanding, supporting ultra-long contexts such as long videos and long documents, spatial awareness, and universal object recognition; it also possesses visual 2D/3D localization capabilities and is capable of handling complex real-world tasks.

Input$0.0206 /M
Output$0.206 /M

Pricing & Specifications

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

Grok 4.5
Qwen3 VL Flash 2026 01-22
Input /M
$2
$0.0206
Output /M
$6
$0.206
Cache read /M
$0.5
-
Context length
500,000
254,000
Max output
500,000
32,000
Time to First Token
2.8 s
-
Throughput
31.5 tok/s
-
Modalities
textimage
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputslong context
toolsfunction callingstructured outputs
API Formats
Released
July 2026
-

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-vl-flash-2026-01-22

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

grok-4.5qwen3-vl-flash-2026-01-22

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
grok-4.5qwen3-vl-flash-2026-01-22
1340140014601520
Overall
14151471
Coding
14661523
Math
14111479
Hard prompts
14401495
Instruction following
14141466
Multi-turn
14261476
Creative writing
13621451
Longer query
14251487
Chinese
14551512
English
14271476
Vision
grok-4.5qwen3-vl-flash-2026-01-22
11801220126013001340
Overall
12151282
OCR
12301294
Diagram
12411319
Homework
12601324

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 VL Flash 2026 01-22
$4.33 /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 VL Flash 2026 01-22?

Qwen3 VL Flash 2026 01-22: $0.206/M output tokens; Grok 4.5: $6/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Grok 4.5: 1523; Qwen3 VL Flash 2026 01-22: 1466 (LMArena coding leaderboard).

How large is each context window?

Grok 4.5 accepts 500,000 and Qwen3 VL Flash 2026 01-22 accepts 254,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 32,000 tokens on Qwen3 VL Flash 2026 01-22.

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 VL Flash 2026 01-22 accepts text, image and video input and supports tool calling, function calling and structured outputs.

Can I call Grok 4.5 and Qwen3 VL Flash 2026 01-22 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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