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Marketplace/Model library
InternScienceModel family1 served version

Agents A1 4B

internscience/agents-a1-4bHugging FaceChatcybersecurityreasoningtoolshotdogs' cybersecurity build of InternScience's Agents-A1 4B: his abliterated Fable-Preview fine-tune with a cybersecurity LoRA (Fenrir, Trendyol and Cybersecurity-ShareGPT data) merged at half strength, in INT8 W8A8. Text input, reasoning that can be switched off, tool calling and structured JSON. Each request has a 262,144-token context limit with at most 65,536 output tokens. Its safety guardrails are reduced.

Input
$0.00186
USD per 1M tokens
Output
$0.00775
USD per 1M tokens
Context
262K
Its one endpoint
Max output
66K
Longest reply allowed
Modality
Text → Text

Versions

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

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.

  • ImpCCHealthy
    int869% offUScybersecurity
    Input
    $0.00186
    Output
    $0.00775
    Context
    262K66K out
    First token
    454mslast 30 min
    Throughput
    79 tok/s
    Uptime 24h
    99.9%
ProviderContextInputOutputFirst tokenThroughputUptime 24h
ImpCCHealthyint869% offUnited Statescybersecurity262K66K max out$0.00186$0.00775454mslast 30 min79 tok/s99.9%

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.

  • ImpCCint8cybersecurityTools 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
ImpCCint869% offcybersecurity$0.00186$0.00775$0.00046598.6%$0.000484

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
ImpCCint8cybersecurity454mslast 30 min574ms659ms940ms4.36slast 30 min8.10s11.2s24.2s79 tok/s102 tok/s130 tok/s149 tok/s—0.0%0.0%31/32 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.

Benchmarkagents-a1-4b-cybersecurity
GPQA DiamondAccuracy51.3%complete run
GPQA DiamondAccuracy · Low reasoning effort52.8%complete run
GPQA DiamondAccuracy · High reasoning effort52.8%complete run
Reasoning GymAccuracy21%complete run
IFBenchPrompt-level loose accuracy43.1%complete run
AIME 2025Accuracy42.5%complete run
HMMT February 2026Accuracy26.5%complete run
BFCL v4Overall accuracy64.7%complete run
JSONSchemaBenchCompliance87.6%complete run
MRCR ≤32KMatch ratio70.5%complete run
MRCR 32K–128KMatch ratio69.8%complete run
MMLU-ProX LiteAccuracy49%complete run
ClaudeCoding agent · solved within 5 attempts15.8%provisional · 45.2% tested15.8% first try · 1.0 attempts per task · harness version 2.1.318 to 2.1.322
CodexCoding agent · solved within 5 attempts15.8%provisional · 45.2% tested15.8% first try · 1.0 attempts per task · harness version 0.166.0 to 0.167.2
DeepSeek HarnessCoding agent · solved within 5 attempts22.2%provisional · 42.9% tested22.2% first try · 1.0 attempts per task · harness version 0.2.2-alpha.3 to 0.2.2-rc.1
EmpryoCoding agent · solved within 5 attempts5.6%provisional · 42.9% tested5.6% first try · 1.0 attempts per task · harness version 3.6.5
HermesCoding agent · solved within 5 attempts27.8%provisional · 42.9% tested27.8% first try · 1.0 attempts per task · harness version 2026.9.24
Oh My PiCoding agent · solved within 5 attempts0%provisional · 42.9% tested0% first try · 1.0 attempts per task · harness version 18.18.6 to 18.19.0
OpenCodeCoding agent · solved within 5 attempts11.1%provisional · 42.9% tested11.1% first try · 1.0 attempts per task · harness version 1.19.5
SleipnirCoding agent · solved within 5 attempts11.1%provisional · 42.9% tested11.1% first try · 1.0 attempts per task · harness version 0.4.70 to 0.4.71
ZCodeCoding agent · solved within 5 attempts16.7%provisional · 42.9% tested16.7% 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.

  • ImpCCint8cybersecurity
    1d 99.9%7d 99.9%reliability 1d 99.9%7d 99.9%turned away 1d 0.0%7d 0.0%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 tokens1.5Blast 30 days
Completion tokens33.0Mlast 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": "internscience/agents-a1-4b-cybersecurity",    "messages": [{ "role": "user", "content": "Hello" }]  }'

No provider serves the base model, so the sample names internscience/agents-a1-4b-cybersecurity, the version served by a live endpoint. Any served version’s id can replace it.

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

About

Author
InternScience
Family id
internscience/agents-a1-4b

InternScience: Agents A1 4B Cybersecurity (hotdogs)Released Aug 7, 2026

hotdogs' cybersecurity build of InternScience's Agents-A1 4B: his abliterated Fable-Preview fine-tune with a cybersecurity LoRA (Fenrir, Trendyol and Cybersecurity-ShareGPT data) merged at half strength, in INT8 W8A8. Text input, reasoning that can be switched off, tool calling and structured JSON. Each request has a 262,144-token context limit with at most 65,536 output tokens. Its safety guardrails are 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_tokens (0–65536), n (1–1), parallel_tool_calls (true/false), presence_penalty (-2–2), reasoning (object), reasoning_effort (6 choices), repetition_penalty (>0, ≤2), response_format (object), return_tokens_as_token_ids (true/false; requires logprobs=true), seed (integer), stop (text or list), stop_token_ids (list), structured_outputs (true/false), temperature (0–2), thinking (object), tool_call_dispatch (true/false), tool_choice (none, auto, required or object), tools (list), top_k (-1–2147483647), top_logprobs (0–20; requires logprobs=true), top_p (>0, ≤1)
Licence
mit
Size
—
Tokenizer
—
Available until
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