Compare

Jev 1.14 vs GLM-5.3-Prime

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

Search2/4
J1
Jev 1.14
typesafe/jev-1.14.0
GLM-5.3-Prime
zai-org/glm-5.3-prime
Provider
Typesafe
Z.ai
Family
Modality
text
text
Context window
32,000 tok
1,000,000 tok
Max output
32,000 tok
131,072 tok
Released
2026-10-16
2026-09-21
License
Open-weight
Open-weight
Input price
$0.042 /1M
$2.80 /1M
Output price
$0.0000 /1M
$8.80 /1M
Tools
—
yes
Streaming
yes
yes
Vision
—
—
JSON mode
—
yes
Reasoning
—
yes
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
Open in playground →
Jev 1.14
typesafe/jev-1.14.0
Full spec →

Jev 1.14 is TypeSafe's structured evaluation model. It evaluates one state against typed Noul, Choice, Score, and Box questions and returns calibrated answers with probabilities and confidence. Image inputs and Box questions are beta and dreamer-ready, not recommended for production.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
GLM-5.3-Prime
zai-org/glm-5.3-prime
Full spec →
Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Gemini 4 Argon vs Jev 1.14
google/gemini-4-argon · typesafe/jev-1.14.0
Gemini 4 Argon vs GLM-5.3-Prime
google/gemini-4-argon · zai-org/glm-5.3-prime
Claude Sonnet 5.5 vs Jev 1.14
anthropic/claude-sonnet-5.5 · typesafe/jev-1.14.0
Claude Sonnet 5.5 vs GLM-5.3-Prime
anthropic/claude-sonnet-5.5 · zai-org/glm-5.3-prime
GPT-6.1 Sol vs Jev 1.14
openai/gpt-6.1-sol · typesafe/jev-1.14.0
GPT-6.1 Sol vs GLM-5.3-Prime
openai/gpt-6.1-sol · zai-org/glm-5.3-prime
Claude Opus 5.5 vs Jev 1.14
anthropic/claude-opus-5.5 · typesafe/jev-1.14.0
Claude Opus 5.5 vs GLM-5.3-Prime
anthropic/claude-opus-5.5 · zai-org/glm-5.3-prime
Grok 4.7 vs Jev 1.14
xai/grok-4.7 · typesafe/jev-1.14.0
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Jev 1.14
client.chat.completions.create(
    model="typesafe/jev-1.14.0",
    messages=[{"role":"user","content":"hello"}],
)

# GLM-5.3-Prime
client.chat.completions.create(
    model="zai-org/glm-5.3-prime",
    messages=[{"role":"user","content":"hello"}],
)
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