The Known Good Updated 4 Sep 2026 Subscribe
Meta ·Open weights (restricted use) ·Released December 2024·Tracked since 25 Jul 2026

Meta: Llama 3.3 70B Instruct — quality, speed & price analysis

Compare with another model Provider benchmarks Data sources
Quality
#57 of 65
34based on 4 of 7 evaluations
Known Good Index
Speed
#194 of 338
44.2
Output tokens per second
Price
#71 of 442
$0.15
Blended per 1M tokens
In $0.10 · Out $0.32
Cache hit price
unranked
per 1M tokens
Context
#375 of 476
131k
tokens (~200 pages)
Summary

Meta: Llama 3.3 70B Instruct is in the lowest quarter of the models we track for quality, and inexpensive for its standing, and notably slow. It accepts text input, outputs text, and supports a 131k-token context window.

It scores 34 on the Known Good Index, well below the tracked average of 65, from 4 of the seven component evaluations. Measured against the tracked average, its strongest result is LiveBench (50 against 52) and its weakest is Mock AIME 2024–25 (5 against 54).

Pricing is $0.10 per 1M input tokens (below the $2.07 average) and $0.32 per 1M output (below the $9.51 average). At 44 tokens per second it sits in the lower middle of the tracked range.

Generated from tracked data on 4 Sep 2026 · how these comparisons are computed →

Technical specifications
ReasoningNo
Input modalitytext
Output modalitytext
Context window131,072 tokens
Max output16,384 tokens
WeightsOpen weights · Open weights (restricted use) (commercial use restricted)
Knowledge cutoffDecember 2023
Tool callingYes
Providers12 hosts · compare →
Highlights — where Meta: Llama 3.3 70B Instruct sits
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Models shown

Quality

How Meta: Llama 3.3 70B Instruct compares against every tracked model

Known Good IndexCodingMathematicsReasoning
Known Good Index

Composite of GPQA Diamond, Mock AIME 2024–25, MATH Level 5, SWE-bench Verified, LiveBench, Humanity's Last Exam and Terminal-Bench, normalised 0–100. Scores are ingested from Epoch AI, LiveBench; we do not run these evaluations.

💡 A lightbulb marks a model its provider publishes as a reasoning model
The Known Good

Quality Breakdown

Meta: Llama 3.3 70B Instruct on each evaluation feeding the index, against the tracked average

Evaluation scores

Bar = Meta: Llama 3.3 70B Instruct · grey marker = average across tracked models · scores ingested from Epoch AI, LiveBench

GPQA Diamond47 / 64
Mock AIME 2024–255 / 54
MATH Level 542 / 54
LiveBench50 / 52
The Known Good

Arena Elo

Human preference rating from blind pairwise votes

Text Arena

Elo from blind pairwise votes, ingested from Arena

1274
Elo · 95% CI ±3
#258
of 406 ranked models
54k
votes counted
1317
style-controlled (#247)

Ingested 4 Sep 2026.

The Known Good

Price & Cost

Published API pricing by token type

BlendedInput vs outputQuality per dollar
Blended Price

USD per 1M tokens at a 3:1 input:output blend. Live from OpenRouter, cross-checked against models.dev. Lower is better. Ranked against the 442 models priced above zero, which is the population the chart draws; excludes 29 published at no cost (free and promotional tiers).

The Known Good
We publish blended price rather than cost-per-task. Cost-per-task requires token counts from an evaluation suite we do not run. Blended price is computed from published rates and is fully reproducible — see the pricing methodology.

Context Window

Maximum input tokens accepted

Context windowMax output tokens
Context Window

Maximum input context from provider metadata via models.dev and OpenRouter. Higher is better.

The Known Good

Speed

Mean output throughput across hosting providers, over successful measurements from the last 48 hours

Output speedBy provider

Latency

Time to first token, mean across providers over successful measurements from the last 48 hours

Latency (TTFT)

Seconds to first streamed chunk, mean across tracked providers over successful measurements from the last 48 hours. Derived from OpenRouter endpoint telemetry. Lower is better.

The Known Good

Providers

Hosts serving Meta: Llama 3.3 70B Instruct, with their own price and speed

12 providers
Full provider benchmarks →
ProviderInput $/MOutput $/M BlendedSpeedTTFTContext
Groq $0.59 $0.79 $0.64 228 0.2s 131k
CoreWeave $0.71 $0.71 $0.71 52 0.2s 128k
Crusoe $0.25 $0.75 $0.38 45 0.3s 131k
Google · first party $0.72 $0.72 $0.72 32 0.3s 128k
Parasail $0.22 $0.50 $0.29 28 0.6s 131k
Together $1.04 $1.04 $1.04 28 0.7s 131k
SambaNova $0.45 $0.90 $0.56 25 0.4s 131k
Novita $0.14 $0.40 $0.20 20 0.6s 12k
AkashML $0.20 $0.52 $0.28 19 0.8s 131k
Cloudflare $0.29 $2.25 $0.78 14 0.3s 24k
DeepInfra $0.10 $0.32 $0.15 14 0.6s 131k
Nebius $0.13 $0.40 $0.20 12 0.5s 131k

Per-host pricing and telemetry from OpenRouter. Speed is output tokens per second; TTFT is time to first token.

The Known Good

History

How price and quality have moved since we began tracking this model

Quality & price over time

Since 25 Jul 2026

Known Good Index 34 · based on 4 of 7 evaluations
Blended price $0.15 per 1M · observed 4 Sep 2026
Output speed 44 tok/s · observed 4 Sep 2026
Time to first token 0.8s
3 Sep 2026 · price change
Meta: Llama 3.3 70B Instruct price down 78%
Blended 3:1 price moved from $0.71 to $0.16 per 1M tokens (OpenRouter).
26 Aug 2026 · price change
Meta: Llama 3.3 70B Instruct price up 358%
Blended 3:1 price moved from $0.16 to $0.71 per 1M tokens (OpenRouter).
The Known Good

Comparisons

Head-to-head pages pairing Meta: Llama 3.3 70B Instruct with other tracked models

Head-to-head pages are generated for the top 50 models by Known Good Index, which Meta: Llama 3.3 70B Instruct is not currently in. Its nearest tracked models by index are below.

mistral-small-2503 claude-3-opus-20240229 mistral-small-2501 OpenAI: GPT-4o-mini mistral-large-2411 claude-3-5-haiku-20241022 Microsoft: Phi 4 OpenAI: GPT-4o
Sources for this page
Pricing & providers — OpenRouter Metadata — models.dev Benchmarks — Epoch AI (CC-BY 4.0)Benchmarks — LiveBench (Apache-2.0)Elo — Arena Full attribution →