Warp
ChatInput: TextReleased Jun 16, 2026

Built by Z.ai (Zhipu AI) · China · z.ai

Opus-class on coding benchmarks, 46% of the cost with caching

How to use

Just add the suffix. Hard questions still come back from this model; only easy ones drop to something cheaper, and nothing pricier than it gets used.

model: "zhipu/glm-5.2:auto"

Sets no behavior — whatever your key already stores stays in effect.

Without the suffix, the bare name always goes to this model — no routing, so nothing saved.

Context

1.0M

Max output

131K

Input $/1M

$0.85

Output $/1M

$2.68

Features

Tool callingJSON

Providers

DeepInfraNovitaFireworksZ.aiFriendliTogetherBasetenGMI CloudVeniceAsterMorphW&B InferenceDigitalOceanWafer

Providers

Price, latency, and uptime per provider serving this model. Warp tries them in order of how each host has just been behaving, moving to the next on failure. Click a row for regions and data policies.

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Performance

Benchmark quality scores, and measured speed per provider.

Quality

GPQA DiamondPhD-level science questions
91.9%
AIMECompetition mathematics
86.4%
SWE-bench VerifiedReal GitHub issue resolution
78.7%
SciCodeScientific code generation
50.5%
ARC-AGI-2Abstract reasoning
22.8%
SimpleQA VerifiedFactual accuracy
38.1%

At each model's best reasoning effort

Agent arenaRank on real tool-using sessions (frontier models only)#7+6.24%
Category ranksAmong all rated models
Agent#7Coding#4Korean#27Instruction following#24

Source: LMArena

Speed

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Parameter support

What Warp actually does with each parameter when you call this model. The answer differs by serving provider and by API surface.

Provider