Head-to-head AI model comparison graphic: Claude Haiku 5.5 (Anthropic) vs Qwen3.8 Max (Alibaba). Intelligence index 36.5 vs 33.7; output speed 233 vs 38 tokens per second; time to first token 4.6 min vs 3.2s; output price $0.50 vs $6.00 per million tokens; input price $0.10 vs $2.00 per million tokens. franklineh.com
Claude Haiku 5.5 vs Qwen3.8 Max: head-to-head AI benchmark comparison. Claude Haiku 5.5 leads on intelligence index, output speed, output price and input price; Qwen3.8 Max leads on time to first token.
Head to headUpdated

Claude Haiku 5.5 Max vs Qwen3.8 Max 0902 compared

Claude Haiku 5.5 Max leads the intelligence index 36.5 to 33.7. Claude Haiku 5.5 Max costs 93% less on blended price. See token costs, speed and which to pick.

Pick it for Claude Haiku 5.5 · Max

  • Lower cost: $0.20 against $3.20 for 1 million input and 200,000 output tokens.
  • Higher intelligence index: 36.5 against 33.7.
  • Higher throughput once writing (233 tokens per second against 38 tokens per second), though it only finishes first beyond about 13,000 tokens.

Pick it for Qwen3.8 Max · 0902

  • Shorter wait for the first token: 3.2 seconds against 4.6 minutes.
  • Finishes a typical reply sooner: about 56 seconds against 4.8 minutes for 2,000 tokens, counting the first-token wait.

By the numbers

MetricClaude Haiku 5.5 (Max)Qwen3.8 Max (0902)
Intelligence Index36.533.7
Input price (per 1M tokens)$0.10$2.00
Output price (per 1M tokens)$0.50$6.00
Output speed (tokens/s)23338
Time to first token4.6 min3.2s
Release date2026-10-072026-09-02

On the headline score, Anthropic's Claude Haiku 5.5 (Max) and Alibaba's Qwen3.8 Max (0902) are almost level. The sharpest difference is price: Claude Haiku 5.5 Max costs $0.50 per million output tokens, against $6.00 for Qwen3.8 Max 0902. Everything below is read from the benchmark, price and speed data in Franklin AI's catalogue; nothing here comes from a hands-on test.

Token pricing and a sample bill

Claude Haiku 5.5 Max lists $0.10 per million input tokens and $0.50 per million output tokens; Qwen3.8 Max 0902 lists $2.00 and $6.00. Qwen3.8 Max 0902 costs 12 times as much per output token.

For a sample workload of 1 million input tokens and 200,000 output tokens, Claude Haiku 5.5 Max would cost $0.20 and Qwen3.8 Max 0902 $3.20, a difference of $3.00. Scale it up to summarising 1,000 documents of 8,000 tokens into 400-token summaries and the bill is $1.00 for Claude Haiku 5.5 Max against $18.40 for Qwen3.8 Max 0902. Blended at three input tokens per output token, the effective rates are $0.20 for Claude Haiku 5.5 Max and $3.00 for Qwen3.8 Max 0902.

Which is newer

Qwen3.8 Max 0902 came first, on September 2, 2026; Claude Haiku 5.5 Max followed on October 7, 2026. That is close enough to count them as the same generation.

Waiting time

Claude Haiku 5.5 Max generates about 233 tokens per second and Qwen3.8 Max 0902 about 38 tokens per second. Claude Haiku 5.5 Max is ahead by 510% on throughput. Before any text appears, Claude Haiku 5.5 Max takes 4.6 minutes and Qwen3.8 Max 0902 3.2 seconds. The faster writer, Claude Haiku 5.5 Max, gives away too much at the start to win on time: counting the first-token wait, Qwen3.8 Max 0902 finishes first for any reply shorter than about 13,000 tokens. Waits that long are felt on every chat-style request, though they matter less for batch jobs.

Put together, a 2,000-token answer would take about 4.8 minutes from Claude Haiku 5.5 Max and 56 seconds from Qwen3.8 Max 0902, counting the first-token wait.

Benchmark scores

Claude Haiku 5.5 Max comes out ahead on the intelligence index, 36.5 to 33.7. That is a modest edge: real, but small enough that the right set of tasks could reverse it. In relative terms, Claude Haiku 5.5 Max scores 8% higher.

Among 109 active scored models, Claude Haiku 5.5 Max sits 37th and Qwen3.8 Max 0902 44th.

There are no coding or math index scores for either model in the catalogue, which keeps this comparison at the aggregate level.

Score per dollar

Dividing the blended price by the intelligence index gives a rough cost per point: $0.0055 for Claude Haiku 5.5 Max and $0.089 for Qwen3.8 Max 0902, per million tokens. With the higher score and the lower cost per point, Claude Haiku 5.5 Max is the better value per point on these numbers.

Quick answers

Is Claude Haiku 5.5 Max better than Qwen3.8 Max 0902?

Neither wins everywhere: Claude Haiku 5.5 Max scores higher on the intelligence index, 36.5 to 33.7; Claude Haiku 5.5 Max is 93% cheaper on blended price; Claude Haiku 5.5 Max streams output 6.1 times as fast; and Qwen3.8 Max 0902 reaches its first token sooner.

Is Qwen3.8 Max 0902 cheaper than Claude Haiku 5.5 Max?

Claude Haiku 5.5 Max is cheaper on a blended basis. Claude Haiku 5.5 Max lists $0.10 per million input tokens and $0.50 per million output tokens; Qwen3.8 Max 0902 lists $2.00 and $6.00. For 1 million input and 200,000 output tokens that is $0.20 against $3.20.

Where do these numbers come from?

The figures are the recorded benchmark, price and speed data in Franklin AI's model catalogue. This page is written from that data automatically; neither model was tested by hand for it.

Are Claude Haiku 5.5 Max and Qwen3.8 Max 0902 from the same company?

Claude Haiku 5.5 Max is made by Anthropic and Qwen3.8 Max 0902 by Alibaba. Claude Haiku 5.5 Max was released on October 7, 2026 and Qwen3.8 Max 0902 on September 2, 2026.

When were Claude Haiku 5.5 Max and Qwen3.8 Max 0902 released?

Claude Haiku 5.5 Max is newer. It was released on October 7, 2026, 35 days after Qwen3.8 Max 0902 (September 2, 2026).

Final whistle

On balance the numbers favour Claude Haiku 5.5 Max, though Qwen3.8 Max 0902 keeps a case of its own. Pick Claude Haiku 5.5 Max if cost matters ($0.50 against $6.00 per million output tokens) and you need the higher overall score (36.5 against 33.7). Pick Qwen3.8 Max 0902 if users are waiting on the first word and replies need to finish sooner at typical lengths.

Where the numbers come from

The scores, speed and prices in this comparison come from independent third-party model evaluations that Franklin AI syncs each day, and the article was written from a snapshot of them. For the latest results, open the Claude Haiku 5.5 (Max) and Qwen3.8 Max (0902) pages. The AI Benchmark methodology explains how that data is collected and shown.

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