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Compare / head-to-head

Llama 3.3 70B InstructvsQwen3.6 27B

Qwen3.6 27B leads 3 of 3 shared benchmarks. Qwen3.6 27B has the larger context window (262K tokens).

Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.

Shared benchmarks
0 – 3
Qwen3.6 27B leads
Cheaper per token
list price, input + output
Larger context
Qwen3.6 27B
262K tokens
Provider uptime (30d)
— · —
Meta · Qwen
Llama 3.3 70B Instruct
Meta · released 2024-12-06
text
Context
131K
Max out
Input /1M
Output /1M
Cached /1M
Scores
5 · 4 core
Qwen3.6 27B
Qwen · released 2026-04-21
textvision
Context
262K
Max out
Input /1M
Output /1M
Cached /1M
Scores
6 · 5 core
Quality

Benchmark matrix

BenchmarkLlama 3.3 70B InstructQwen3.6 27BΔEdge
Reported by both · 3
GPQA Diamond50.5% 87.8% -37.3 ptQwen3.6 27B
MMLU-Pro68.9% 86.2% -17.3 ptQwen3.6 27B
OTIS Mock AIME 2024-2025 (Epoch AI run)5.1% epoch91.1% epoch-86 ptQwen3.6 27B
Only Llama 3.3 70B Instruct reports · 1
LMArena Elo1274 not reported
Only Qwen3.6 27B reports · 2
SWE-bench Verifiednot reported77.2%
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported35.1% epoch
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Llama 3.3 70B Instruct minus Qwen3.6 27B in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing

Side by side

SpecLlama 3.3 70B InstructQwen3.6 27BEdge
Context window131K tokens262K tokensQwen3.6 27B
Max output
Input price / 1M
Output price / 1M
Cached input / 1M
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
Modalitiestexttext · visionQwen3.6 27B
Released2024-12-062026-04-21
Cited benchmark scores56
Reliability

Provider status

All providers
More matchups

Llama 3.3 70B Instruct vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run Llama 3.3 70B Instruct and Qwen3.6 27B on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.