Latest Model Snapshot

Models

A curated view of recently released production models for enterprise AI teams. Compare context limits, cost profile, and best-fit workloads before rollout.

Snapshot updated: 2026-03-15

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260 models found
Z.ai 2026-03-15

GLM 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios.

Context
202,752
Input / 1M
$0.96
Output / 1M
$3.20
Best For
  • Advanced reasoning
  • Agent workflows
  • Low-latency assistants
z-ai/glm-5-turbo
xAI 2026-03-12

Grok 4.20 Beta

General flagship model optimized for fast reasoning and broad agentic use.

Context
2,000,000
Input / 1M
$2.00
Output / 1M
$6.00
Best For
  • General reasoning
  • Fast responses
  • Long-context tasks
x-ai/grok-4.20-betaView model details
xAI 2026-03-12

Grok 4.20 Multi-Agent Beta

Multi-agent variant designed for coordinated research and tool-heavy workflows.

Context
2,000,000
Input / 1M
$2.00
Output / 1M
$6.00
Best For
  • Deep research
  • Parallel-agent tasks
  • Complex synthesis
x-ai/grok-4.20-multi-agent-betaView model details
Qwen 2026-03-10

Qwen3.5-9B

Compact, efficient model aimed at practical reasoning and coding workloads.

Context
256,000
Input / 1M
$0.05
Output / 1M
$0.15
Best For
  • Low-cost inference
  • Developer tooling
  • Edge-friendly workloads
qwen/qwen3.5-9bView model details
ByteDance 2026-03-10

Seed-2.0-Lite

Cost-efficient enterprise model with balanced multimodal and agent capabilities.

Context
262,144
Input / 1M
$0.25
Output / 1M
$2.00
Best For
  • Cost-sensitive production
  • General assistants
  • High-volume tasks
bytedance-seed/seed-2.0-liteView model details
OpenAI 2026-03-05

GPT-5.4

Frontier model for strong reasoning and broad enterprise use with very long context.

Context
1,050,000
Input / 1M
$2.50
Output / 1M
$15.00
Best For
  • Enterprise copilots
  • Long documents
  • Cross-functional workflows
openai/gpt-5.4View model details
OpenAI 2026-03-05

GPT-5.4 Pro

Highest-capability option for demanding reasoning, coding, and strategic tasks.

Context
1,050,000
Input / 1M
$30.00
Output / 1M
$180.00
Best For
  • Hard reasoning
  • High-stakes outputs
  • Advanced coding agents
openai/gpt-5.4-proView model details
Inception 2026-03-04

Mercury 2

Reasoning-focused model tuned for low-latency output and iterative problem solving.

Context
128,000
Input / 1M
$0.25
Output / 1M
$0.75
Best For
  • Latency-sensitive UX
  • Reasoning at scale
  • Interactive assistants
inception/mercury-2View model details
Google 2026-03-03

Gemini 3.1 Flash Lite Preview

Efficiency-first model targeting high-throughput enterprise workloads.

Context
1,048,576
Input / 1M
$0.25
Output / 1M
$1.50
Best For
  • Batch processing
  • Large-scale automation
  • High request volume
google/gemini-3.1-flash-lite-previewView model details
OpenAI 2026-03-03

GPT-5.3 Chat

High-quality conversational model optimized for day-to-day enterprise assistants.

Context
128,000
Input / 1M
$1.75
Output / 1M
$14.00
Best For
  • General chat
  • Team assistants
  • Knowledge workflows
openai/gpt-5.3-chatView model details
Google 2026-02-26

Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Gemini 3.1 Flash Image Preview, a.k.a.

Context
65,536
Input / 1M
$0.50
Output / 1M
$3.00
Best For
  • Advanced reasoning
  • Multimodal workflows
  • Low-latency assistants
google/gemini-3.1-flash-image-preview
ByteDance Seed 2026-02-26

Seed-2.0-Mini

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment.

Context
262,144
Input / 1M
$0.10
Output / 1M
$0.40
Best For
  • Advanced reasoning
  • Multimodal workflows
  • Low-latency assistants
bytedance-seed/seed-2.0-mini
Showing 1-12 of 260
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Model Selection FAQs

Start from workload requirements: reasoning depth, latency target, context window, tool-calling reliability, and budget envelope. Then run a controlled benchmark on your own prompts before broad rollout.
Usually no. Most teams run a model portfolio: one for high-quality reasoning, one for high-throughput tasks, and one for coding or workflow automation.
For fast-moving AI operations, review model choices monthly and rerun focused evaluations when new frontier releases appear.

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