Compare / Qwen3.5 397B A17B vs Llama 3.1 8B Instruct

Qwen3.5 397B A17B vs Llama 3.1 8B Instruct

Which is cheaper, which is more capable, and which does better at each kind of work, from 18 results on 3 sources that measured both models.

Qwen3.5 397B A17B
Alibaba · profile
Llama 3.1 8B Instruct
Meta · profile
Results compared
18
Shared sources
3

Qwen3.5 397B A17B or Llama 3.1 8B Instruct? The short answer

  • Llama 3.1 8B Instruct is cheaper: $0.058 against $1.29 per million tokens, 22 times less.
  • Qwen3.5 397B A17B scores higher on the Artificial Analysis Intelligence Index: 21.4 against 6.9.
  • On our business benchmarks, Qwen3.5 397B A17B ranks higher for agents and tool use, reasoning and knowledge and writing.

At a glance

Qwen3.5 397B A17BLlama 3.1 8B Instruct
Price per million tokens$0.55 in · $3.50 out$0.050 in · $0.080 out
Blended (3 in : 1 out)$1.29$0.058
Cheapest host, blended$0.88 (Alibaba)$0.025 (DeepInfra, FP8)
Intelligence Index21.46.9
Spring Prompt overall––
Output speed, tokens a second90–
Context window262,144 tokens131,072 tokens
WeightsOpenOpen
Developer based inChinathe US

Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.

Which is better for what

Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.

Use caseQwen3.5 397B A17BLlama 3.1 8B Instruct
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 65 of 161 154 of 161
Professional workReal tasks from banking, consulting and law, business documents and freelance projects 48 of 51 not measured
Reasoning and knowledgeHard questions across science, maths and general knowledge 69 of 195 173 of 195
WritingWhat people prefer in blind comparisons, and judged writing quality 66 of 187 178 of 187
Sticking to the factsSummarising without inventing things, and factual answers 72 of 153 not measured

Every shared result

BenchmarkMetricQwen3.5 397B A17BLlama 3.1 8B Instruct
Arena (formerly LMArena)reportedBusiness, management and financeArena rating 1,4451,210
Arena (formerly LMArena)reportedCreative writingArena rating 1,4051,177
Arena (formerly LMArena)reportedExpert promptsArena rating 1,4761,198
Arena (formerly LMArena)reportedInstruction followingArena rating 1,4341,191
Arena (formerly LMArena)reportedOverallArena rating 1,4421,211
Arena (formerly LMArena)reportedWriting, literature and languageArena rating 1,4211,182
Artificial AnalysisreportedArtificial Analysis Coding Indexindex score 48.25.40
Artificial AnalysisreportedArtificial Analysis Intelligence Indexindex score 21.46.90
Artificial AnalysisreportedGPQA Diamond% of questions 89.3%25.9%
Artificial AnalysisreportedHumanity's Last Exam% of questions 29.0%5.3%
Artificial AnalysisreportedIFBench% of instructions 78.8%28.6%
Artificial AnalysisreportedLong-context reasoning (AA-LCR)% of questions 77.3%18.0%
Artificial AnalysisreportedTerminal-Bench 2.1% of tasks 51.3%1.5%
Artificial AnalysisreportedTerminal-Bench Hard% of tasks 40.9%0.8%
Artificial AnalysisreportedΤ²-bench telecom% of tasks 95.6%16.4%
UGI LeaderboardreportedRequested-length error% off the requested word count 23.0%20.0%
UGI LeaderboardreportedStyle adherencescore from 0 to 1 0.330.34
UGI LeaderboardreportedWriting scorescore out of 100 50.124.8

Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.

Quick answers

Is Qwen3.5 397B A17B better than Llama 3.1 8B Instruct?

It depends on the task. Among models available today, on our benchmarks and licensed sources, Qwen3.5 397B A17B ranks higher for agents and tool use, reasoning and knowledge and writing.

Which is cheaper, Qwen3.5 397B A17B or Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct costs $0.058 per million tokens (three input to one output), against $1.29 for Qwen3.5 397B A17B.

Run Qwen3.5 397B A17B and Llama 3.1 8B Instruct on your own prompt

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