Anyscale · small open-weight · Released 2025-03-11

Llama 3 Anyscale 7B: pricing, context window and benchmarks

Llama 3 Anyscale 7B is a small open-weight model from Anyscale. It offers a 4,096-token context window, costs $0.98 per million input tokens and $3.49 per million output tokens, and averages 56.2 across the index's benchmark suite.

open weightssmall
Input price
$0.98
per 1M tokens
Output price
$3.49
per 1M tokens
Context
4,096
tokens
Avg score
56.2
rank #503 of 600
Arena Elo
1234.9
modelled
Max output
4,096
tokens

Pricing

Llama 3 Anyscale 7B costs $0.98 per million input tokens and $3.49 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.61 per million tokens. Cached input is listed at $0.15 per million tokens.

ItemPriceNotes
Input$0.98per 1M tokens
Output$3.49per 1M tokens
Cached input$0.15per 1M tokens
Blended 3:1$1.61estimate per 1M tokens
1M in + 1M out$4.47estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.1 500 17th
GPQA Diamond 49.8 526 12th
SWE-bench Verified 44.3 473 21th
HumanEval 58.2 521 13th
MATH-500 58.4 486 19th
AIME 2025 46.1 488 19th
LiveCodeBench 41.1 532 11th
IFEval 67.3 499 17th
TruthfulQA 61.6 511 15th
HellaSwag 73.7 460 23th
MMMU 56.1 487 19th
Arena Elo 1234.9 521 13th

What Llama 3 Anyscale 7B is good for

Llama 3 Anyscale 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.98 per million input tokens it can handle a large share of production traffic.

Strengths

  • Input price of $0.98 per million tokens is at or below the index median.
  • Open weights make self-hosting, fine-tuning and data-residency review possible.

Trade-offs

  • Context window of 4,096 tokens is small for long-document work.
  • Average benchmark score is below the index median; test it on your own task.
  • Less reliable on open-ended reasoning and complex multi-step instructions.

How it compares

ModelProviderContextInput / 1MAvg score
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3
Command R+ 7B Cohere 8192 $0.95 56.2
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2
Yi-Large 8B 01.AI 32768 $0.88 56.1
Llama 3 Replicate 7B Replicate 32768 $0.91 56.0

Browse all comparisons →

FAQ

How much does Llama 3 Anyscale 7B cost?

Llama 3 Anyscale 7B is listed at $0.98 per million input tokens and $3.49 per million output tokens. Cached input is $0.15 per million tokens. A blended 3:1 input-to-output mix is about $1.61 per million tokens.

What is the context window of Llama 3 Anyscale 7B?

Llama 3 Anyscale 7B has a context window of 4,096 tokens and can emit up to 4,096 output tokens per request in this index.

Is Llama 3 Anyscale 7B open weights?

Yes. Llama 3 Anyscale 7B is listed as an open-weight model under a open weights licence.

How does Llama 3 Anyscale 7B score on benchmarks?

Llama 3 Anyscale 7B averages 56.2 across the scored benchmarks in this index, ranking #503 of 600 models. Its strongest relative result is Arena Elo at 1234.9.

What is Llama 3 Anyscale 7B best for?

Llama 3 Anyscale 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.98 per million input tokens it can handle a large share of production traffic.

Related