GLM-5

Zhipu's open-weights flagship: ~200K context, reasoning and tool calling, agentic-oriented.

name
GLM-5
vendor
Zhipu AI
model_id
glm-5
context_window
200K
max_output
128K
input_per_mtok
$1.00
output_per_mtok
$3.20
strengths
Zhipu's open-weights flagship: ~200K context, reasoning and tool calling, agentic-oriented.
provider
Zhipu AI
family
GLM-5
release_date
2026-02-11 source
last_updated
2026-06-15
open_weights
true source
license
open (see Hugging Face zai-org/GLM-5) source
params_total
— verify-against-primary-at-build ↗ https://models.dev/models/zhipuai/glm-5/ — total parameter count not published for this model.
params_active
— verify-against-primary-at-build ↗ https://models.dev/models/zhipuai/glm-5/ — active (MoE) parameter count not published for this model.
tool_call
true source
reasoning
always source
structured_output
— verify-against-primary-at-build ↗ https://models.dev/models/zhipuai/glm-5/ — structured_output not marked on the canonical provider entry; confirm at build.
attachment
— verify-against-primary-at-build ↗ https://models.dev/models/zhipuai/glm-5/ — accepted attachment/file modalities not enumerated on the fetched entry; confirm at build.
temperature
true source
knowledge_cutoff
— verify-against-primary-at-build ↗ https://models.dev/models/zhipuai/glm-5/ — knowledge cutoff not published on the fetched entry; confirm at build.
context_advertised
200K source
context_effective
— verify-against-primary-at-build ↗ No published measured long-context recall benchmark for this model; do not derive effective context from advertised.
price_input
$1.00 source
price_output
$3.20 source
price_cache_read
— verify-against-primary-at-build ↗ https://models.dev/models/zhipuai/glm-5/ — cache-read rate not captured numerically from a primary source in this pass.
price_cache_write
— verify-against-primary-at-build ↗ https://models.dev/models/zhipuai/glm-5/ — cache-write rate not captured numerically from a primary source in this pass.
cost_per_full_window
— verify-against-primary-at-build ↗ Derived at build from price_input x advertised context once confirmed.
cost_per_agent_task
— verify-against-primary-at-build ↗ Derived at build from the cache-aware agent-task model once cache rates are confirmed.
modalities
text-in,text-out source
gpqa_diamond
— verify-against-primary-at-build ↗ https://artificialanalysis.ai/ — GPQA-Diamond for this model to confirm at build.
swe_bench_verified
— verify-against-primary-at-build ↗ https://www.swebench.com/ — SWE-bench Verified score for this model to confirm at build.
terminal_bench
— verify-against-primary-at-build ↗ https://www.tbench.ai/ — Terminal-Bench score for this model to confirm at build.
tau2_bench
— verify-against-primary-at-build ↗ Primary tau2-Bench leaderboard — score for this model to confirm at build.
bfcl_tool_use
— verify-against-primary-at-build ↗ https://gorilla.cs.berkeley.edu/leaderboard.html — BFCL tool-use score for this model to confirm at build.
aa_index
— verify-against-primary-at-build ↗ https://artificialanalysis.ai/ — Intelligence Index for this model to confirm at build.
lmarena_elo
— verify-against-primary-at-build ↗ https://lmarena.ai/leaderboard — human-preference Elo for this model to confirm at build.
tokens_per_sec
— verify-against-primary-at-build ↗ https://artificialanalysis.ai/ — measured throughput for this model to confirm at build.
ttft
— verify-against-primary-at-build ↗ https://artificialanalysis.ai/ — measured time-to-first-token for this model to confirm at build.
hallucination_rate
— verify-against-primary-at-build ↗ No primary hallucination benchmark captured for this model in this pass.
agent_readiness_score
— verify-against-primary-at-build ↗ Score withheld: R_tool (BFCL/tau2-Bench), R_ctx (effective context), R_cost (cache rates) and R_latency inputs are not yet sourced. Compute per /models/agent-readiness-score once inputs confirmed.
score_confidence
partial
source_url
https://models.dev/models/zhipuai/glm-5/
source_type
models.dev
last_verified
2026-06-15
_provenance_note
context 204,800 / max output 131,072 rendered as 200K / 128K. structured_output shown as '-' on canonical Zhipu provider -> placeholder.

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