Gryphe: MythoMax 13B

Public pricingIntelligence 79/100Small memory

MythoMax 13B é um modelo texto criado para chat geral, análise e uso em produção. Ele combina desempenho geral estável, um contexto de 4K tokens e um perfil baixo custo para entregar trabalho confiável em general chat, analysis, and production workloads.

Input

$0.06/1M

Output

$0.06/1M

Cached

$0.01/1M

Batch

$0.03/1M

Calculate your MythoMax 13B bill.

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What would MythoMax 13B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

MythoMax 13B at a glance.

Memory

4,096

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

llama2

Released

Jul 2023

Training cutoff

Jun 2023

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick MythoMax 13B

  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

MythoMax 13B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, MythoMax 13B costs roughly $7 per month. Input is $0.06 /1M tokens and output is $0.06 /1M tokens.
MythoMax 13B has a 4,096-token context window (small memory — a few emails or a short document). That means you can fit about 768 words of input and history in a single call.
MythoMax 13B was released in July 2023, with training data cut off around June 2023.
Models in a similar class include Nova Lite 1.0, Gemma 3n 4B, Qwen3 14B. The "Similar models" section below this FAQ links into each.

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