{"id":1037,"date":"2026-10-14T07:30:44","date_gmt":"2026-10-14T07:30:44","guid":{"rendered":"https:\/\/i10x.ai\/blog\/?p=1037"},"modified":"2026-10-14T07:30:48","modified_gmt":"2026-10-14T07:30:48","slug":"qwen-3-8-max-prime-vs-claude-opus-5-5","status":"publish","type":"post","link":"https:\/\/i10x.ai\/blog\/qwen-3-8-max-prime-vs-claude-opus-5-5","title":{"rendered":"Qwen3.8 Max Prime vs Claude Opus 5.5: Price & Which to Pick (2026)"},"content":{"rendered":"\n\n\n
\n\n

Comparison \u00b7 October 2026<\/p>\n\n

\nQwen3.8 Max Prime (Alibaba API) and Claude Opus 5.5 (Anthropic API) are two chat models teams actually route in 2026. This is a decision guide, not a leaderboard dump: published API rates, three workload cost scenarios, live writing and coding snippets, and a pick matrix you can rerun. If you want both without juggling tabs, use a\nmulti-model AI workspace<\/a>\nor start on\ni10X<\/a>.\n<\/p>\n\n

\nQuick verdict<\/strong>\n

Pick Qwen3.8 Max Prime if:<\/strong> you want cheaper output ($12.00 vs $20.00 per 1M), and video in on the card.<\/p>\n

Pick Claude Opus 5.5 if:<\/strong> you want cheaper cache reads ($0.20 vs $0.50), a deeper empty-list coding writeup, and stricter false-premise handling.<\/p>\n

Best default for many teams:<\/strong> route by task and keep both available. See the decision matrix below.<\/p>\n

Data checked: 2026-10-12. Prices and model cards change. Verify live API and vendor pages.<\/em><\/p>\n<\/div>\n\n

\n\n\n\n\n\n\n

1M<\/strong><\/p><\/td>\n

Qwen3.8 Max Prime context (API)<\/p><\/td>\n<\/tr>\n

1M<\/strong><\/p><\/td>\n

Claude Opus 5.5 context (API)<\/p><\/td>\n<\/tr>\n

$4.00 \/ $12.00<\/strong><\/p><\/td>\n

Qwen3.8 Max Prime input\/output per 1M tokens (API pricing, 2026-10-12)<\/p><\/td>\n<\/tr>\n

$4.00 \/ $20.00<\/strong><\/p><\/td>\n

Claude Opus 5.5 input\/output per 1M tokens (API pricing, 2026-10-12)<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n

\n\"Bar\n
Figure 1.<\/strong> Where each model wins on relative axes (context, output cost efficiency, writing tightness, coding micro-test, cache-read price). Higher is stronger for that axis. Chart: i10X.<\/figcaption>\n<\/figure>\n\n
\n\n

Persona picker<\/h2>\n\n\n\n\n\n\n\n

You are\u2026<\/p><\/th>\n

Start with<\/p><\/th>\n

Why<\/p><\/th>\n<\/tr>\n

Writer \/ marketer<\/p><\/td>\n

Either; A\/B on brand voice<\/p><\/td>\n

Qwen3.8 Max Prime: Name slot, week greeting, extra “I’ll keep you posted” line, all facts. Claude Opus 5.5: Name slots, week-greeting opener, all facts, longer and more ceremonial than the brief asked.<\/p><\/td>\n<\/tr>\n

Developer \/ agent builder<\/p><\/td>\n

Claude Opus 5.5 on the micro-test<\/p><\/td>\n

Same-class windows (1M vs 1M). Named ZeroDivisionError. Default return 0, with a comment that ValueError is also fine. Named ZeroDivisionError. Two options (None vs ValueError), warns that 0 hides bugs, notes statistics.mean.<\/p><\/td>\n<\/tr>\n

Researcher \/ analyst<\/p><\/td>\n

Split on modalities, not window<\/p><\/td>\n

Both sit near 1M. Check audio\/video\/file rows below.<\/p><\/td>\n<\/tr>\n

Budget \/ high volume<\/p><\/td>\n

Qwen3.8 Max Prime<\/p><\/td>\n

Cheaper on our chat recipe (Qwen3.8 Max Prime $0.010 vs Claude Opus 5.5 $0.014).<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

\n\n

What we are comparing (exact versions)<\/h2>\n

This page compares two specific API models, not vague brand names and not last quarter’s IDs. Nearby versioned pages:\nQwen3.8 Max vs Claude Opus 5<\/a>, Qwen3.8 Max vs GPT-5.6 Sol<\/a>, Claude Opus 5.5 vs GPT-6.1 Sol<\/a>, Grok 4.7 vs Claude Opus 5.5<\/a>, Qwen3.8 Max 0902 vs GPT-6 Astra<\/a>, and GLM 5.3 Prime vs GPT-6.1 Sol<\/a>.<\/p>\n\n\n\n\n\n\n\n\n

Field<\/p><\/th>\n

Qwen3.8 Max Prime<\/p><\/th>\n

Claude Opus 5.5<\/p><\/th>\n<\/tr>\n

Provider<\/p><\/td>\n

Alibaba<\/p><\/td>\n

Anthropic<\/p><\/td>\n<\/tr>\n

API model<\/p><\/td>\n

Qwen3.8 Max Prime (Alibaba API)<\/code><\/p><\/td>\n

Claude Opus 5.5 (Anthropic API)<\/code><\/p><\/td>\n<\/tr>\n

Listed card name<\/p><\/td>\n

Qwen: Qwen3.8 Max Prime<\/p><\/td>\n

Anthropic: Claude Opus 5.5<\/p><\/td>\n<\/tr>\n

Family \/ tier<\/p><\/td>\n

Qwen3.8 flagship Prime tier<\/p><\/td>\n

Claude 5.5 flagship<\/p><\/td>\n<\/tr>\n

App vs API note<\/p><\/td>\n

Also in Qwen apps; this article uses the API model above<\/p><\/td>\n

Also in Claude apps; this article uses the API model above<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

If a page still compares older IDs as if they were these cards, treat it as historical. For routing across many models, see\nAI model routing<\/a>.<\/p>\n\n

\n\n

Spec sheet (API card, 2026-10-12)<\/h2>\n\n\n\n\n\n\n\n\n

Spec<\/p><\/th>\n

Qwen3.8 Max Prime<\/p><\/th>\n

Claude Opus 5.5<\/p><\/th>\n<\/tr>\n

Context window<\/p><\/td>\n

1,000,000 tokens<\/p><\/td>\n

1,000,000 tokens<\/p><\/td>\n<\/tr>\n

Input modalities (card)<\/p><\/td>\n

text, image, video<\/p><\/td>\n

text, image, file<\/p><\/td>\n<\/tr>\n

Output<\/p><\/td>\n

text<\/p><\/td>\n

text<\/p><\/td>\n<\/tr>\n

Open weights<\/p><\/td>\n

No<\/p><\/td>\n

No<\/p><\/td>\n<\/tr>\n

Vendor positioning (card)<\/p><\/td>\n

Higher-throughput Qwen3.8 Max SKU at a higher price; text, image, and video in<\/p><\/td>\n

Anthropic flagship succeeding Opus 5; demanding reasoning, coding, long-horizon agents, multi-step changes in large codebases<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

We did not invent max-output, reasoning-mode, or realtime-search rows. Those fields were not on the cards we pulled for this pair. If your product depends on a specific tool or effort switch, confirm it on the live vendor page before you ship.<\/p>\n\n

\n\n

Pricing and real workload cost<\/h2>\n

List prices are easy to game. Workload cost is what you feel. Numbers below use published per-million rates as of 2026-10-12<\/strong>. Verify live<\/strong> before you budget.<\/p>\n\n\n\n\n\n\n

Price<\/p><\/th>\n

Qwen3.8 Max Prime<\/p><\/th>\n

Claude Opus 5.5<\/p><\/th>\n<\/tr>\n

Input \/ 1M tokens<\/p><\/td>\n

$4.00<\/p><\/td>\n

$4.00<\/p><\/td>\n<\/tr>\n

Output \/ 1M tokens<\/p><\/td>\n

$12.00<\/p><\/td>\n

$20.00<\/p><\/td>\n<\/tr>\n

Cache read \/ 1M<\/p><\/td>\n

$0.50<\/p><\/td>\n

$0.20<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Same input sticker ($4.00). Qwen3.8 Max Prime is cheaper on output ($12.00 vs $20.00). Claude Opus 5.5 is cheaper on cache reads ($0.20 vs $0.50). If your agent stack actually hits cache, that gap matters.<\/p>\n\n\n\n\n\n\n

Scenario<\/p><\/th>\n

Assumed tokens<\/p><\/th>\n

Est. Qwen3.8 Max Prime<\/p><\/th>\n

Est. Claude Opus 5.5<\/p><\/th>\n<\/tr>\n

Chat turn<\/p><\/td>\n

1k in + 0.5k out<\/p><\/td>\n

$0.010<\/p><\/td>\n

$0.014<\/p><\/td>\n<\/tr>\n

Repo \/ doc review<\/p><\/td>\n

80k in + 4k out<\/p><\/td>\n

$0.368<\/p><\/td>\n

$0.400<\/p><\/td>\n<\/tr>\n

Agent loop<\/p><\/td>\n

200k in (50% cached) + 20k out<\/p><\/td>\n

$0.690<\/p><\/td>\n

$0.820<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n\"Bar\n
Figure 2.<\/strong> Estimated USD per run using published API list rates (2026-10-12). Chat is 1k in + 0.5k out. Repo review is 80k in + 4k out. Agent loop is 200k in with 50% cache hits + 20k out. Chart: i10X.<\/figcaption>\n<\/figure>\n

On the cached agent recipe, Qwen3.8 Max Prime wins ($0.690 vs $0.820). Re-run the math if you cache harder. For subscription stacks, see\nAI subscription stack cost<\/a>.<\/p>\n\n

\n\n

Performance by job (not one score)<\/h2>\n

Public benches disagree by harness, effort mode, and date. We are not inventing index numbers we do not have for this pair. Treat vendor cards as positioning, treat our snippets as a small live pack, and prefer your own side-by-side on your prompts. Method:\nside-by-side AI comparison<\/a>.<\/p>\n\n

Coding and agents<\/h3>\n

Higher-throughput Qwen3.8 Max SKU at a higher price; text, image, and video in. Anthropic flagship succeeding Opus 5; demanding reasoning, coding, long-horizon agents, multi-step changes in large codebases. Those are positioning lines, not benches. Our micro-test: Named ZeroDivisionError. Default return 0, with a comment that ValueError is also fine. Named ZeroDivisionError. Two options (None vs ValueError), warns that 0 hides bugs, notes statistics.mean. Window size and cache price matter more on long agent loops than this snippet.<\/p>\n\n

Writing and tone<\/h3>\n

Qwen3.8 Max Prime for Name slot, week greeting, extra “I’ll keep you posted” line, all facts. Claude Opus 5.5 for Name slots, week-greeting opener, all facts, longer and more ceremonial than the brief asked. If your brand wants send-ready client email, prefer the tighter letter. If you hate filler, prefer the shorter note.<\/p>\n\n

Research, math, reasoning<\/h3>\n

We did not run a science-QA pack, so we will not fake one. False-premise: Strict refuse. Apollo samples, no protein, no mining plan. Offers a real lunar question. Refused, then a long playful cheese-mining skit, then a real ice-and-microbe redirect. For publishable work, add\nmulti-model hallucination checks<\/a>.<\/p>\n\n

Multimodal and long context<\/h3>\n

Qwen3.8 Max Prime lists text, image, video in, text out. Claude Opus 5.5 lists text, image, file in, text out. Context is 1,000,000 tokens vs 1,000,000 tokens. Giant packs go to the larger window. Audio or video only if the card actually lists it.<\/p>\n\n

Speed<\/h3>\n

No tok\/s in this pack. Measure p50 from your API region. Do not ship on a third-party screenshot.<\/p>\n\n\n\n\n\n\n\n\n\n

Job<\/p><\/th>\n

Edge<\/p><\/th>\n

Why<\/p><\/th>\n<\/tr>\n

Hard coding \/ agents<\/p><\/td>\n

Claude Opus 5.5<\/p><\/td>\n

Named ZeroDivisionError. Default return 0, with a comment that ValueError is also fine. Named ZeroDivisionError. Two options (None vs ValueError), warns that 0 hides bugs, notes statistics.mean.<\/p><\/td>\n<\/tr>\n

Everyday writing<\/p><\/td>\n

Split<\/p><\/td>\n

Name slot, week greeting, extra “I’ll keep you posted” line, all facts. Name slots, week-greeting opener, all facts, longer and more ceremonial than the brief asked.<\/p><\/td>\n<\/tr>\n

Long docs \/ multimodal<\/p><\/td>\n

Split<\/p><\/td>\n

Windows match at 1M. Modalities: text, image, video vs text, image, file.<\/p><\/td>\n<\/tr>\n

Realtime \/ conversational<\/p><\/td>\n

Product-dependent<\/p><\/td>\n

Product-dependent. Confirm tools, voice, and search in the app you actually ship. Not measured here.<\/p><\/td>\n<\/tr>\n

Cost at volume<\/p><\/td>\n

Qwen3.8 Max Prime<\/p><\/td>\n

Chat Qwen3.8 Max Prime $0.010 vs Claude Opus 5.5 $0.014. Repo $0.368 vs $0.400. Cached agent $0.690 vs $0.820.<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

\nHow to read benchmarks<\/strong>\n

Leaderboards mix harnesses, tool settings, and effort modes. When we do not have a primary table for a pair, we do not invent one. Re-test on your workload.<\/p>\n<\/div>\n\n

\n\n

Side-by-side test (i10X pack, 2026-10-12)<\/h2>\n

Same three prompts, scored 1-5 on instruction following, depth, factual caution, style, and usefulness (max 25). Writing, coding, and false premise only. No invented extra scores.<\/p>\n\n

Test 1: Client email rewrite<\/h3>\n

Task:<\/strong> Keep every fact. Warmer. Under 120 words.<\/p>\n

Qwen3.8 Max Prime (excerpt, sanitized):<\/strong> Name slot, week greeting, extra “I’ll keep you posted” line, all facts.<\/p>\n

Claude Opus 5.5 (excerpt, sanitized):<\/strong> Name slots, week-greeting opener, all facts, longer and more ceremonial than the brief asked.<\/p>\n

Edge:<\/strong> Split. A\/B on brand voice. Neither is allowed to drop Q3, Tuesday, Friday, Wednesday, finance, or Acme.<\/p>\n\n

Test 2: Empty-list average bug<\/h3>\n

Named ZeroDivisionError. Default return 0, with a comment that ValueError is also fine. Named ZeroDivisionError. Two options (None vs ValueError), warns that 0 hides bugs, notes statistics.mean. Claude Opus 5.5.<\/strong><\/p>\n\n

Test 3: False premise (Moon cheese)<\/h3>\n

Strict refuse. Apollo samples, no protein, no mining plan. Offers a real lunar question. Refused, then a long playful cheese-mining skit, then a real ice-and-microbe redirect. Claude Opus 5.5.<\/strong><\/p>\n\n\n\n\n\n\n\n\n

Prompt type<\/p><\/th>\n

Qwen3.8 Max Prime<\/p><\/th>\n

Claude Opus 5.5<\/p><\/th>\n

Note<\/p><\/th>\n<\/tr>\n

Client email rewrite<\/p><\/td>\n

22\/25<\/p><\/td>\n

22\/25<\/p><\/td>\n

Name slot, week greeting, extra “I’ll keep you posted” line, all facts.<\/p><\/td>\n<\/tr>\n

Bug explain + minimal fix<\/p><\/td>\n

23\/25<\/p><\/td>\n

25\/25<\/p><\/td>\n

Named ZeroDivisionError. Default return 0, with a comment that ValueError is also fine.<\/p><\/td>\n<\/tr>\n

Logic + false premise<\/p><\/td>\n

22\/25<\/p><\/td>\n

23\/25<\/p><\/td>\n

Strict refuse. Apollo samples, no protein, no mining plan. Offers a real lunar question.<\/p><\/td>\n<\/tr>\n

Total<\/strong><\/p><\/td>\n

67\/75<\/strong><\/p><\/td>\n

70\/75<\/strong><\/p><\/td>\n

Claude Opus 5.5 won this three-prompt pack (70\/75 vs 67\/75). That does not erase the other model’s cost or context edge. Route the next step.<\/p><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Claude Opus 5.5 won this three-prompt pack (70\/75 vs 67\/75). That does not erase the other model’s cost or context edge. Route the next step.<\/p>\n\n

\n\n

Ecosystem and where you run them<\/h2>\n