The Known Good Updated 8 Oct 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
#137 of 356
75.5
Output tokens per second
Price
#79 of 504
$0.15
Blended per 1M tokens
In $0.10 · Out $0.32
Cache hit price
unranked
—
per 1M tokens
Context
#450 of 550
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, with mid-range throughput. 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 56).

Pricing is $0.10 per 1M input tokens (below the $1.96 average) and $0.32 per 1M output (below the $9.07 average). At 76 tokens per second it sits in the upper middle of the tracked range.

Generated from tracked data on 8 Oct 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
Providers13 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.

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💡 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 / 65
Mock AIME 2024–255 / 56
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
#273
of 422 ranked models
54k
votes counted
1318
style-controlled (#261)

Ingested 8 Oct 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 504 models priced above zero, which is the population the chart draws; excludes 39 published at no cost (free and promotional tiers).

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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.

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The Known Good

Speed

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

Output speedBy provider
Output Speed

Mean output tokens per second across all tracked providers, over successful measurements from the last 48 hours. Derived from OpenRouter endpoint telemetry. Higher is better.

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The Known Good

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.

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The Known Good

Providers

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

13 providers
Full provider benchmarks →
ProviderInput $/MOutput $/M BlendedSpeedTTFTContext
Groq $0.59 $0.79 $0.64 221 0.3s 131k
Google · first party $0.72 $0.72 $0.72 120 2.0s 128k
SambaNova $0.45 $0.90 $0.56 119 0.7s 131k
Parasail $0.22 $0.50 $0.29 82 1.4s 131k
CoreWeave $0.71 $0.71 $0.71 57 0.6s 128k
Together $1.04 $1.04 $1.04 43 0.6s 131k
PrimeIntellect $1.04 $2.25 $1.34 38 0.7s 131k
Novita $0.14 $0.40 $0.20 37 0.9s 12k
AkashML $0.20 $0.52 $0.28 35 1.1s 131k
Cloudflare $0.29 $2.25 $0.78 34 0.5s 24k
DeepInfra $0.10 $0.32 $0.15 14 0.6s 131k
Nebius $0.13 $0.40 $0.20 4 5.0s 131k
Crusoe $0.25 $0.75 $0.38 — — 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 8 Oct 2026
Output speed 76 tok/s · observed 8 Oct 2026
Time to first token 0.8s
8 Oct 2026 · price change
Meta: Llama 3.3 70B Instruct price down 47%
Blended 3:1 price moved from $0.29 to $0.16 per 1M tokens (OpenRouter).
5 Oct 2026 · price change
Meta: Llama 3.3 70B Instruct price up 87%
Blended 3:1 price moved from $0.16 to $0.29 per 1M tokens (OpenRouter).
5 Oct 2026 · price change
Meta: Llama 3.3 70B Instruct price down 47%
Blended 3:1 price moved from $0.29 to $0.16 per 1M tokens (OpenRouter).
4 Oct 2026 · price change
Meta: Llama 3.3 70B Instruct price up 87%
Blended 3:1 price moved from $0.16 to $0.29 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 →