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Marketplace/Model library
Z.aiModel family2 served versions

GLM 5.3 Flash

z-ai/glm-5.3-flashHugging FaceChatVisioncybersecurityreasoningtoolsmoeGLM-5.3-Flash — 195 GB on disk (down from the 643 GB BF16 source) — INT4 W4A16 quantization of the routed experts in compressed-tensors pack-quantized format, for Hopper (H100 / H200) via vLLM Marlin kernels.

Input
$0.031 – $0.124
USD per 1M tokens
Output
$0.124 – $0.496
USD per 1M tokens
Context
1M
Largest of 3 endpoints
Max output
66K
Longest reply offered
Modality
Text + Image + Video → Text

Versions

Every served version of this family. Each has its own providers and prices.

  • GLM 5.3 Flashz-ai/glm-5.3-flashbase$0.031 in$0.124 out1M context1 endpoint
  • GLM 5.3 Flash Cybersecurity (DealignAI)z-ai/glm-5.3-flash-cybersecurity$0.0465 in$0.155 out1M context2 endpoints

    DealignAI's cybersecurity build of GLM 5.3 Flash, with refusals removed, in W4A16 (int4 experts, BF16 activations). It takes text, image and video input, reasons, calls tools and returns structured JSON. Each request has a 1,048,576-token context limit with at most 65,536 output tokens. Its template knows three reasoning levels: minimal and low run at Low, medium and high at High, xhigh at Max; thinking cannot be switched off. Its safety guardrails are substantially reduced.

Providers

Live endpoints, cheapest first. First token is the median wait for a streamed reply; throughput covers the last day and uptime the last 24 hours.

  • int469% offUSbase
    Input
    $0.031
    Output
    $0.124
    Context
    1M66K out
    First token
    347mslast 30 min
    Throughput
    39 tok/s
    Uptime 24h
    100.0%
  • ImpCCHealthy
    int469% offUScybersecurity
    Input
    $0.0465
    Output
    $0.155
    Context
    1M66K out
    First token
    56.7slast 30 min
    Throughput
    60 tok/s
    Uptime 24h
    100.0%
  • Input
    $0.124
    Output
    $0.496
    Context
    1M66K out
    First token
    648mslast 30 min
    Throughput
    39 tok/s
    Uptime 24h
    99.8%
ProviderContextInputOutputFirst tokenThroughputUptime 24h
Consensus ProtocolHealthyint469% offUnited Statesbase1M66K max out$0.031$0.124347mslast 30 min39 tok/s100.0%
ImpCCHealthyint469% offUnited Statescybersecurity1M66K max out$0.0465$0.15556.7slast 30 min60 tok/s100.0%
Consensus ProtocolHealthyint469% offUnited Statescybersecurity1M66K max out$0.124$0.496648mslast 30 min39 tok/s99.8%

Capabilities and data

What each endpoint declares about tools, reasoning and prompt data, beside the marketplace’s own checks. The key below says what each badge means.

  • Consensus Protocolint4baseTools VerifiedReasoning Effort levelsData Zero retention
  • ImpCCint4cybersecurityTools VerifiedReasoning Effort levelsData Zero retention
  • Consensus Protocolint4cybersecurityTools VerifiedReasoning Effort levelsData Zero retention
Verified
a current check called an offered tool with valid arguments
Effort levels
effort levels are declared, and none is failing checks
Zero retention
prompts are neither stored nor trained on; the claim passed marketplace review

Pricing

USD per million tokens.

ProviderInputOutputCache readCache hitEffective input
Consensus Protocolint469% offbase$0.031$0.124$0.015582.7%$0.018177
ImpCCint469% offcybersecurity$0.0465$0.155$0.009392.2%$0.012209
Consensus Protocolint469% offcybersecurity$0.124$0.496$0.03184.7%$0.045201

Price history

Input price · USD per million tokens

Output price · USD per million tokens

Performance

Timing percentiles cover the labelled window: the last 30 minutes when it has enough samples, otherwise the last day. TTFT is the seconds to the first token, measured only on streamed requests; response is the seconds from request to last byte, measured on every request, streamed or not. Throughput is output tokens per second over the last day, counted only over streamed generations long enough to have a rate — a buffered answer has no generation phase, and a two-token one times the scheduler rather than the model. Tool calls is the share of the last day of tool requests this endpoint answered with a tool call, published once the day holds twenty of them; under that the cell is blank rather than a rate nothing measured.

ProviderTTFT p50p75p90p99Response p50p75p90p99Throughput p50p75p90p99Tool calls 1dRunaways 1dEmpty 1dCapacity
Consensus Protocolint4base347mslast 30 min697ms726ms733ms1.51slast 30 min20.5s2m 49s5m 41s39 tok/s57 tok/s82 tok/s158 tok/s—0.8%0.0%34/35 free
ImpCCint4cybersecurity56.7slast 30 min1m 3s1m 6s1m 37s10.0slast 30 min49.7s1m 38s5m 51s60 tok/s67 tok/s74 tok/s89 tok/s—0.0%0.1%13/16 free
Consensus Protocolint4cybersecurity648mslast 30 min1.32s4.43s4.43s883mslast 30 min2.20s4.52s6.73s39 tok/s44 tok/s49 tok/s58 tok/s—0.0%0.0%8/8 free

Time to first token by hour · last 7 days

Hourly median per provider. The line spans hours with no streamed traffic; where samples are sparse, a dot marks each hour actually timed.

Throughput by hour · last 7 days

Hourly median output tokens per second per provider, over generations long enough to have a rate. The line spans hours with no answer long enough to measure; where samples are sparse, a dot marks each hour actually measured.

Benchmarks

Scores from the benchmark board, one column per served version. Each figure comes from the endpoint with the most evidence for that suite, and a provisional one names how much of its suite it covers.

Benchmarkglm-5.3-flashglm-5.3-flash-cybersecurity
GPQA DiamondAccuracy64.5%complete run79.7%complete run
GPQA DiamondAccuracy · Low reasoning effort61.9%complete run71.6%complete run
GPQA DiamondAccuracy · High reasoning effort79.7%complete run83.8%complete run
Reasoning GymAccuracy34.3%complete run37.7%complete run
IFBenchPrompt-level loose accuracy50.8%complete run60.6%complete run
AIME 2025Accuracy64.2%complete run80%complete run
HMMT February 2026Accuracy62.6%provisional · 99.2% tested74.2%complete run
BFCL v4Overall accuracy81.5%complete run79.9%complete run
JSONSchemaBenchCompliance—86.5%complete run
MRCR ≤32KMatch ratio98.8%complete run96.5%complete run
MRCR 32K–128KMatch ratio100%complete run97.5%complete run
MMLU-ProX LiteAccuracy74.5%complete run76.7%complete run
ClaudeCoding agent · solved within 5 attempts61.3%provisional · 73.8% tested61.3% first try · 1.0 attempts per task · harness version 2.1.318 to 2.1.32272.4%provisional · 69.0% tested72.4% first try · 1.0 attempts per task · harness version 2.1.317 to 2.1.322
CodexCoding agent · solved within 5 attempts61.3%provisional · 73.8% tested61.3% first try · 1.0 attempts per task · harness version 0.165.0 to 0.167.262.1%provisional · 69.0% tested62.1% first try · 1.0 attempts per task · harness version 0.166.0 to 0.167.2
DeepSeek HarnessCoding agent · solved within 5 attempts48.4%provisional · 73.8% tested48.4% first try · 1.0 attempts per task · harness version 0.2.1-rc.4 to 0.2.2-rc.169%provisional · 69.0% tested69.0% first try · 1.0 attempts per task · harness version 0.2.1-rc.5 to 0.2.2-rc.1
EmpryoCoding agent · solved within 5 attempts67.7%provisional · 73.8% tested67.7% first try · 1.0 attempts per task · harness version 3.6.565.5%provisional · 69.0% tested65.5% first try · 1.0 attempts per task · harness version 3.6.5
HermesCoding agent · solved within 5 attempts54.8%provisional · 73.8% tested54.8% first try · 1.0 attempts per task · harness version 2026.9.2469%provisional · 69.0% tested69.0% first try · 1.0 attempts per task · harness version 2026.9.24
Oh My PiCoding agent · solved within 5 attempts43.3%provisional · 71.4% tested43.3% first try · 1.0 attempts per task · harness version 18.18.6 to 18.19.062.1%provisional · 69.0% tested62.1% first try · 1.0 attempts per task · harness version 18.18.6 to 18.19.0
OpenCodeCoding agent · solved within 5 attempts53.3%provisional · 71.4% tested53.3% first try · 1.0 attempts per task · harness version 1.19.4 to 1.19.572.4%provisional · 69.0% tested72.4% first try · 1.0 attempts per task · harness version 1.19.5
SleipnirCoding agent · solved within 5 attempts23.3%provisional · 71.4% tested23.3% first try · 1.0 attempts per task · harness version 0.4.70 to 0.4.7158.6%provisional · 69.0% tested58.6% first try · 1.0 attempts per task · harness version 0.4.70 to 0.4.71
ZCodeCoding agent · solved within 5 attempts70%provisional · 71.4% tested70.0% first try · 1.0 attempts per task · harness version 0.16.572.4%provisional · 69.0% tested72.4% first try · 1.0 attempts per task · harness version 0.16.5

Uptime

Share of successful requests and probes over the last day and week. Reliability is the share of the requests a provider accepted that it answered; turned away is the share it refused with its own 429 because it was full, which uptime counts as failures.

  • Consensus Protocolint4base
    1d 100.0%7d 99.9%reliability 1d 100.0%7d 99.9%turned away 1d 0.0%7d 0.1%Healthy
  • ImpCCint4cybersecurity
    1d 100.0%7d 99.9%reliability 1d 100.0%7d 99.9%turned away 1d 0.0%7d 0.0%Healthy
  • Consensus Protocolint4cybersecurity
    1d 99.8%7d 99.9%reliability 1d 99.9%7d 99.9%turned away 1d 0.1%7d 0.1%Healthy

Availability by hour · last 7 days

Share of successful requests and probes per hour and provider. The line spans hours with nothing to measure; where samples are sparse, a dot marks each hour actually measured.

Activity

Prompt tokens and completion tokens per UTC day over the last 30 days. Every billed request counts, the platform's own paid probe traffic included.

Prompt tokens6.1Blast 30 days
Completion tokens172.6Mlast 30 days
Quickstart
curl https://api-staging.heimdallm.com/api/v1/chat/completions \  -H "Authorization: Bearer $HEIMDALL_API_KEY" \  -H "Content-Type: application/json" \  -d '{    "model": "z-ai/glm-5.3-flash",    "messages": [{ "role": "user", "content": "Hello" }]  }'

Set HEIMDALL_API_KEY to a key from your account. See the quickstart for routing suffixes and provider preferences.

About

Author
Z.ai
Family id
z-ai/glm-5.3-flash

Z.ai: GLM 5.3 FlashReleased Aug 30, 2026

GLM-5.3-Flash — 195 GB on disk (down from the 643 GB BF16 source) — INT4 W4A16 quantization of the routed experts in compressed-tensors pack-quantized format, for Hopper (H100 / H200) via vLLM Marlin kernels.

Request parameters
frequency_penalty (-2–2), max_tokens (1–65536), min_p (0–1), presence_penalty (-2–2), reasoning_effort (none, low, medium, high), repetition_penalty (0–2), response_format (any value), seed (0–2147483647), stop (list), temperature (0–2), tool_choice (any value), tools (true/false), top_k (0–200), top_p (0–1)
Licence
glm-5.3
Size
321.3B parameters, I32 weights
Tokenizer
—
Available until
—

Z.ai: GLM 5.3 Flash Cybersecurity (DealignAI)Released Aug 30, 2026

DealignAI's cybersecurity build of GLM 5.3 Flash, with refusals removed, in W4A16 (int4 experts, BF16 activations). It takes text, image and video input, reasons, calls tools and returns structured JSON. Each request has a 1,048,576-token context limit with at most 65,536 output tokens. Its template knows three reasoning levels: minimal and low run at Low, medium and high at High, xhigh at Max; thinking cannot be switched off. Its safety guardrails are substantially reduced.

Request parameters
add_generation_prompt (true/false), allowed_token_ids (list), cache_salt (text), chat_template_kwargs (object), continue_final_message (true/false), frequency_penalty (-2–2), guided_choice (list), guided_grammar (text), guided_json (any value), guided_regex (text), ignore_eos (true/false), include_stop_str_in_output (true/false), logprobs (true/false), max_completion_tokens (1–65536), max_tokens (1–65536), min_p (0–1), min_tokens (0–65536), n (1–1), parallel_tool_calls (true/false), presence_penalty (-2–2), reasoning (object), reasoning_effort (varies by provider), repetition_penalty (varies by provider), response_format (varies by provider), return_tokens_as_token_ids (true/false; requires logprobs=true), seed (varies by provider), stop (varies by provider), stop_token_ids (list), structured_outputs (true/false), temperature (0–2), tool_call_dispatch (true/false), tool_choice (varies by provider), tools (varies by provider), top_k (varies by provider), top_logprobs (0–20; requires logprobs=true), top_p (varies by provider)
Licence
mit
Size
321.3B parameters, I32 weights
Tokenizer
—
Available until
—
DiscoverFind your next modelModel libraryAll models, versions, prices and capabilitiesBenchmarksMeasured quality, cost and time by serving configurationModel requestsAsk for a model, and vote on what is listed nextShowcaseImages, video and 3D made on the marketplaceProvidersCompare independent inference providersActivityMarketplace traffic and usageNetwork statusAvailability, latency and endpoint healthChatConversations, model settings and filesImage, video & 3DGenerate images, video and 3D assetsScene studioStage a shot in 3D, direct it and render it as a videoCoding playgroundBuild software with an AI agent on a machine of your ownOverview & routingIdentity, workspaces and routing preferencesBalance & depositsBalance, deposits, ledger and reserved fundsAPI keysKeys scoped to workspaces, limits and expirationOrganizationsTeams, members and shared workspacesRequest historyRequests, receipts, sandbox sessions and account historyReferralsInvitations and referral earningsPrivacyData settings, exports and deletionDocumentationQuickstart, SDKs, pricing and guidesAPI referenceInteractive endpoint referenceList your modelsProvider guide: requirements, the fee, payouts and what is measuredProvider payoutsMonthly statements, the marketplace fee and payout walletsProvider dashboardApply as a provider, add sources and track earnings