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Compare / head-to-head

Llama 3.3 70B InstructvsQwen3-Max

Qwen3-Max leads 2 of 2 shared benchmarks. Qwen3-Max has the larger context window (262K tokens).

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

Shared benchmarks
0 – 2
Qwen3-Max leads
Cheaper per token
list price, input + output
Larger context
Qwen3-Max
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-Max
Qwen · released 2025-09-23
text
Context
262K
Max out
Input /1M
$1.2
Output /1M
$6
Cached /1M
$0.12
Scores
5 · 5 core
Quality

Benchmark matrix

BenchmarkLlama 3.3 70B InstructQwen3-MaxΔEdge
Reported by both · 2
GPQA Diamond50.5% 72.6% epoch-22.1 ptQwen3-Max
OTIS Mock AIME 2024-2025 (Epoch AI run)5.1% epoch73.3% epoch-68.2 ptQwen3-Max
Only Llama 3.3 70B Instruct reports · 2
MMLU-Pro68.9% not reported
LMArena Elo1274 not reported
Only Qwen3-Max reports · 3
SWE-bench Verifiednot reported69.6%
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported18.9% epoch
SimpleQA Verifiednot reported48.7% 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-Max 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-MaxEdge
Context window131K tokens262K tokensQwen3-Max
Max output
Input price / 1M$1.2
Output price / 1M$6
Cached input / 1M$0.12
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$7.2
ModalitiestexttextTie
Released2024-12-062025-09-23
Cited benchmark scores55
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-Max on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.