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Compare / head-to-head

Llama 3.3 70B InstructvsPhi-4

Phi-4 leads 3 of 4 shared benchmarks. Llama 3.3 70B Instruct has the larger context window (131K tokens).

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

Shared benchmarks
1 – 3
Phi-4 leads
Cheaper per token
list price, input + output
Larger context
Llama 3.3 70B Instruct
131K tokens
Provider uptime (30d)
— · —
Meta · Microsoft
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
Phi-4
Microsoft · released 2024-12-12
text
Context
16K
Max out
16K
Input /1M
Output /1M
Cached /1M
Scores
11 · 7 core
Quality

Benchmark matrix

BenchmarkLlama 3.3 70B InstructPhi-4ΔEdge
Reported by both · 4
GPQA Diamond50.5% 56.1% -5.6 ptPhi-4
MMLU-Pro68.9% 70.4% -1.5 ptPhi-4
LMArena Elo1274 1216.6 +57.4Llama 3.3 70B Instruct
OTIS Mock AIME 2024-2025 (Epoch AI run)5.1% epoch13.8% epoch-8.7 ptPhi-4
Only Llama 3.3 70B Instruct reports · 0
Llama 3.3 70B Instruct reports nothing Phi-4 does not.
Only Phi-4 reports · 6
MMLUnot reported84.8%
HumanEvalnot reported82.6%
ArenaHardnot reported75.4%
HumanEval+not reported82.8%
IFEvalnot reported63%
MATHnot reported80.4%
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 Phi-4 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 InstructPhi-4Edge
Context window131K tokens16K tokensLlama 3.3 70B Instruct
Max output16K tokens
Input price / 1M
Output price / 1M
Cached input / 1M
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
ModalitiestexttextTie
Released2024-12-062024-12-12
Cited benchmark scores511
Reliability

Provider status

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More matchups

Llama 3.3 70B Instruct vs …

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Public benchmarks are a starting point. Run Llama 3.3 70B Instruct and Phi-4 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.