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Compare / head-to-head

GLM-5.1vsLlama 3.3 70B Instruct

GLM-5.1 leads 3 of 3 shared benchmarks. GLM-5.1 has the larger context window (200K tokens).

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

Shared benchmarks
3 – 0
GLM-5.1 leads
Cheaper per token
list price, input + output
Larger context
GLM-5.1
200K tokens
Provider uptime (30d)
— · —
Z.ai · Meta
GLM-5.1
Z.ai · released 2026-04-07
text
Context
200K
Max out
131K
Input /1M
$1.4
Output /1M
$4.4
Cached /1M
$0.26
Scores
7 · 7 core
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
Quality

Benchmark matrix

BenchmarkGLM-5.1Llama 3.3 70B InstructΔEdge
Reported by both · 3
GPQA Diamond89.9% epoch50.5% +39.4 ptGLM-5.1
LMArena Elo1462.4 1274 +188.4GLM-5.1
OTIS Mock AIME 2024-2025 (Epoch AI run)93.3% epoch5.1% epoch+88.2 ptGLM-5.1
Only GLM-5.1 reports · 4
AIME 202695.8% matharenanot reported
FrontierMath Tiers 1-3 v2 (Epoch AI run)36.8% epochnot reported
SimpleQA Verified34% epochnot reported
SWE-bench Verified (Epoch AI run)74.2% epochnot reported
Only Llama 3.3 70B Instruct reports · 1
MMLU-Pronot reported68.9%
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 GLM-5.1 minus Llama 3.3 70B Instruct 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

SpecGLM-5.1Llama 3.3 70B InstructEdge
Context window200K tokens131K tokensGLM-5.1
Max output131K tokens
Input price / 1M$1.4
Output price / 1M$4.4
Cached input / 1M$0.26
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$5.8
ModalitiestexttextTie
Released2026-04-072024-12-06
Cited benchmark scores75
Reliability

Provider status

All providers
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Which one wins on your data?

Public benchmarks are a starting point. Run GLM-5.1 and Llama 3.3 70B Instruct on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.