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Compare / head-to-head

Llama 3.3 70B InstructvsPhi-4 Mini Reasoning

Phi-4 Mini Reasoning leads 1 of 1 shared benchmark. 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
0 – 1
Phi-4 Mini Reasoning 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 Mini Reasoning
Microsoft · released 2025-04-30
text
Context
128K
Max out
128K
Input /1M
Output /1M
Cached /1M
Scores
3 · 2 core
Quality

Benchmark matrix

BenchmarkLlama 3.3 70B InstructPhi-4 Mini ReasoningΔEdge
Reported by both · 1
GPQA Diamond50.5% 52% -1.5 ptPhi-4 Mini Reasoning
Only Llama 3.3 70B Instruct reports · 3
MMLU-Pro68.9% not reported
LMArena Elo1274 not reported
OTIS Mock AIME 2024-2025 (Epoch AI run)5.1% epochnot reported
Only Phi-4 Mini Reasoning reports · 2
AIME 2024not reported57.5%
MATH-500not reported94.6%
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 Mini Reasoning 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-4 Mini ReasoningEdge
Context window131K tokens128K tokensLlama 3.3 70B Instruct
Max output128K 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
Released2024-12-062025-04-30
Cited benchmark scores53
Reliability

Provider status

All providers
More matchups

Llama 3.3 70B Instruct vs …

More matchups

Phi-4 Mini Reasoning vs …

Built by Respan
Which one wins on your data?

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