Models

DeepSeek V3 vs Grok 4.5

Output tokens cost $1.09 per million on DeepSeek V3 and $6.00 per million on Grok 4.5. Input tokens cost $0.27 per million on DeepSeek V3 and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.27 per million on DeepSeek V3 and $0.50 per million on Grok 4.5. Context lengths are 1,638,000 tokens on DeepSeek V3 and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 1.2s on DeepSeek V3 and 2.1s on Grok 4.5. Measured output throughput is 66.5 tok/s on DeepSeek V3 and 26.9 tok/s on Grok 4.5. On the LMArena coding leaderboard DeepSeek V3 scores 1388 and Grok 4.5 scores 1523.

DeepSeekDeepSeek V3GrokGrok 4.5
DeepSeek logo
DeepSeek V3
DeepSeek · text → text

It has been automatically upgraded to the latest released version, 250324. Automatically upgraded to the latest released version 250324.

Input$0.27 /M
Output$1.09 /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.

DeepSeek V3
Grok 4.5
Input /M
$0.27
$2.00
Output /M
$1.09
$6.00
Cache read /M
$0.27
$0.50
Context length
1,638,000
500,000
Max output
1,638,000
500,000
Time to First Token
1.2 s
2.1 s
Throughput
66.5 tok/s
26.9 tok/s
Modalities
text
textimage
Supported Parameters
toolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputslong context
API Formats
Released
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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.

DeepSeek-V3grok-4.5

Tokens / day

-

Requests / day

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Performance Past 3 Days

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

DeepSeek-V3grok-4.5

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
DeepSeek-V3grok-4.5
1280136014401520
Overall
13591470
Coding
13881523
Math
13111478
Hard prompts
13501495
Instruction following
13441466
Multi-turn
13741477
Creative writing
13491449
Longer query
13751485
Chinese
13691511
English
13711475

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.

DeepSeek V3
$32.64 /mo
Grok 4.5
$210 /mo

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

FAQ

Which is cheaper: DeepSeek V3, Grok 4.5?

DeepSeek V3: $1.09/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; DeepSeek V3: 1388 (LMArena coding leaderboard).

Which responds faster?

DeepSeek V3: 1.2s 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?

DeepSeek V3 accepts 1,638,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 1,638,000 tokens on DeepSeek V3 and 500,000 tokens on Grok 4.5.

Which one generates tokens faster?

DeepSeek V3 at 66.5 tok/s and Grok 4.5 at 26.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

DeepSeek V3 accepts text input and supports tool calling, 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 DeepSeek V3 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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