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$0.272 /M
Output$1.088 /M
← ModelsDeepSeek V3
Claude Opus 4.8
DeepSeek V3 vs Claude Opus 4.8
Compare DeepSeek V3 from DeepSeek and Claude Opus 4.8 from Anthropic on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek V3Claude Opus 4.8+ Add model · 2/4
Claude Opus 4.8
Anthropic · text, image, pdf → text
Claude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it
Input$5 /M
Output$25 /M
Cache read$0.5 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
DeepSeek V3
Claude Opus 4.8
Input /M
$0.272
$5
Output /M
$1.088
$25
Cache read /M
-
$0.5
Context length
163,840
1,000,000
Max output
8,192
128,000
Time to First Token
1.2 s
1.1 s
Throughput
66.5 tok/s
82.6 tok/s
Modalities
text
textimagepdf
Supported Parameters
toolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
December 26, 2024
May 28, 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-V3claude-opus-4-8
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
DeepSeek-V3claude-opus-4-8
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
DeepSeek-V3claude-opus-4-8
1280136014401520
Overall
13591473
Coding
13881527
Math
13111474
Hard prompts
13501503
Instruction following
13441477
Multi-turn
13741495
Creative writing
13491465
Longer query
13751499
Chinese
13691523
English
13711480
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
Claude Opus 4.8
$675 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: DeepSeek V3, Claude Opus 4.8?
DeepSeek V3: $1.088/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Claude Opus 4.8: 1527; DeepSeek V3: 1388 (LMArena coding leaderboard).
Which responds faster?
Claude Opus 4.8: 1.1s 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 163,840 and Claude Opus 4.8 accepts 1,000,000 input tokens. Maximum output per request is 8,192 tokens on DeepSeek V3 and 128,000 tokens on Claude Opus 4.8.
Which one generates tokens faster?
Claude Opus 4.8 at 82.6 tok/s and DeepSeek V3 at 66.5 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; Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs.
Can I call DeepSeek V3 and Claude Opus 4.8 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.
Popular comparisons
Related model match-ups readers also look at.
