Models

GPT 5.1 Chat vs Grok 4.5

Compare GPT 5.1 Chat from OpenAI and Grok 4.5 from Grok on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

OpenAIGPT 5.1 ChatGrokGrok 4.5
OpenAI logo
GPT 5.1 Chat
OpenAI · text, image → text

GPT-5.1 Chat refers to the GPT-5.1 snapshot currently used in ChatGPT and is optimized for conversational use cases. While GPT-5.1 is recommended for most API applications, GPT-5.1 Chat is ideal for testing the latest improvements in chat-based interactions.

Input$1.25 /M
Output$10.00 /M
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

Pricing & Specifications

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

GPT 5.1 Chat
Grok 4.5
Input /M
$1.25
$2.00
Output /M
$10.00
$6.00
Cache read /M
$0.13
$0.50
Context length
128,000
500,000
Max output
16,384
500,000
Time to First Token
0.9 s
1.5 s
Throughput
107.0 tok/s
25.6 tok/s
Modalities
textimage
textimage
Supported Parameters
function callingstructured outputs
thinkingtoolsfunction callingstructured outputslong context
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.

gpt-5.1-chat-latestgrok-4.5

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

gpt-5.1-chat-latestgrok-4.5

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
gpt-5.1-chat-latestgrok-4.5
13801420146015001540
Overall
14391470
Coding
14741523
Math
14241478
Hard prompts
14551495
Instruction following
14281466
Multi-turn
14481477
Creative writing
14101449
Longer query
14441485
Chinese
14781511
English
14421475
Vision
gpt-5.1-chat-latestgrok-4.5
1220126013001340
Overall
12371282
OCR
12511295
Diagram
12641321
Homework
12531328
WebDev Arena
gpt-5.1-chat-latestgrok-4.5
1280138014801580
Overall
13401556
React
13061559
HTML
13601577
Gaming
13541586
Simulations
13061598
Data analytics
13511522

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.

Grok 4.5
$210 /mo
GPT 5.1 Chat
$225 /mo

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

FAQ

Which is cheaper: GPT 5.1 Chat, Grok 4.5?

Grok 4.5: $6.00/M output tokens; GPT 5.1 Chat: $10.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Grok 4.5: 1523; GPT 5.1 Chat: 1474 (LMArena coding leaderboard).

Which responds faster?

GPT 5.1 Chat: 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?

GPT 5.1 Chat accepts 128,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 16,384 tokens on GPT 5.1 Chat and 500,000 tokens on Grok 4.5.

Which one generates tokens faster?

GPT 5.1 Chat at 107.0 tok/s and Grok 4.5 at 25.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GPT 5.1 Chat accepts text and image input and supports function calling and structured outputs; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.

Can I call GPT 5.1 Chat and Grok 4.5 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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