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Compare / head-to-head

Llama 3.3 70B InstructvsQwen3.5-Flash

Qwen3.5-Flash leads 3 of 3 shared benchmarks. Qwen3.5-Flash has the larger context window (1M tokens).

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

Shared benchmarks
0 – 3
Qwen3.5-Flash leads
Cheaper per token
list price, input + output
Larger context
Qwen3.5-Flash
1M 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
Qwen3.5-Flash
Qwen · released 2026-02-23
textvision
Context
1M
Max out
Input /1M
$0.029
Output /1M
$0.287
Cached /1M
Scores
5 · 5 core
Quality

Benchmark matrix

BenchmarkLlama 3.3 70B InstructQwen3.5-FlashΔEdge
Reported by both · 3
GPQA Diamond50.5% 82.3% epoch-31.8 ptQwen3.5-Flash
LMArena Elo1274 1397.7 -123.7Qwen3.5-Flash
OTIS Mock AIME 2024-2025 (Epoch AI run)5.1% epoch84.4% epoch-79.3 ptQwen3.5-Flash
Only Llama 3.3 70B Instruct reports · 1
MMLU-Pro68.9% not reported
Only Qwen3.5-Flash reports · 2
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported9.5% epoch
SimpleQA Verifiednot reported20.3% 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 Qwen3.5-Flash 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 InstructQwen3.5-FlashEdge
Context window131K tokens1M tokensQwen3.5-Flash
Max output
Input price / 1M$0.029
Output price / 1M$0.287
Cached input / 1M
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0.316
Modalitiestexttext · visionQwen3.5-Flash
Released2024-12-062026-02-23
Cited benchmark scores55
Reliability

Provider status

All providers
More matchups

Llama 3.3 70B Instruct vs …

More matchups

Qwen3.5-Flash vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run Llama 3.3 70B Instruct and Qwen3.5-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.