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inclusionAIReleased Aug 2, 2026

Ling 3.0 Flash

inclusionai/ling-3.0-flashChatmoereasoningtoolsinclusionAI's Ling 3.0 Flash with MXFP4 expert and FP8 dense weights supports text input, reasoning, tool calling and structured JSON output. Each request has a 262,144-token context limit with at most 65,536 output tokens.

Input
$0.0124 – $0.031
USD per 1M tokens
Output
$0.0372 – $0.124
USD per 1M tokens
Context
262K
Largest of 2 endpoints
Max output
66K
Longest reply offered
Modality
Text → Text

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
    mxfp469% offUS
    Input
    $0.0124
    Output
    $0.0372
    Context
    262K66K out
    First token
    231mslast 30 min
    Throughput
    89 tok/s
    Uptime 24h
    100.0%
  • fp869% offUS
    Input
    $0.031
    Output
    $0.124
    Context
    262K33K out
    First token
    749mslast 30 min
    Throughput
    53 tok/s
    Uptime 24h
    99.7%
ProviderContextInputOutputFirst tokenThroughputUptime 24h
ImpCCHealthymxfp469% offUnited States262K66K max out$0.0124$0.0372231mslast 30 min89 tok/s100.0%
Consensus ProtocolHealthyfp869% offUnited States262K33K max out$0.031$0.124749mslast 30 min53 tok/s99.7%

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.

  • ImpCCmxfp4Tools VerifiedReasoning Effort levelsData Zero retention
  • Consensus Protocolfp8Tools VerifiedReasoning Partial effortData 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
Partial effort
some declared effort levels failed a check; a request naming one goes to another endpoint

Pricing

USD per million tokens.

ProviderInputOutputCache readCache hitEffective input
ImpCCmxfp469% off$0.0124$0.0372$0.0024891.3%$0.003338
Consensus Protocolfp869% off$0.031$0.124$0.0155——

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
ImpCCmxfp4231mslast 30 min237ms270ms272ms2.17slast 30 min8.57s11.9s12.4s89 tok/s115 tok/s126 tok/s141 tok/s—0.0%0.0%8/8 free
Consensus Protocolfp8749mslast 30 min756ms926ms957ms1.60slast 30 min4.02s9.94s14.1s53 tok/s77 tok/s87 tok/s93 tok/s—0.0%0.0%16/16 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. 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.

BenchmarkScore
GPQA DiamondAccuracy70.1%complete run
GPQA DiamondAccuracy · Low reasoning effort70.6%complete run
GPQA DiamondAccuracy · High reasoning effort73.6%complete run
Reasoning GymAccuracy18%complete run
IFBenchPrompt-level loose accuracy71.7%complete run
AIME 2025Accuracy79.2%complete run
HMMT February 2026Accuracy59.1%complete run
BFCL v4Overall accuracy82.4%complete run
JSONSchemaBenchCompliance89.4%complete run
MRCR ≤32KMatch ratio97.5%complete run
MRCR 32K–128KMatch ratio99.9%complete run
MMLU-ProX LiteAccuracy74.8%complete run
ClaudeCoding agent · solved within 5 attempts18.2%provisional · 52.4% tested18.2% first try · 1.0 attempts per task · harness version 2.1.322
CodexCoding agent · solved within 5 attempts71.1%provisional · 90.5% tested71.1% first try · 1.0 attempts per task · harness version 0.166.0 to 0.167.0
DeepSeek HarnessCoding agent · solved within 5 attempts73.7%provisional · 90.5% tested73.7% 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 attempts81.6%provisional · 90.5% tested81.6% first try · 1.0 attempts per task · harness version 3.6.5
HermesCoding agent · solved within 5 attempts86.8%provisional · 90.5% tested86.8% first try · 1.0 attempts per task · harness version 2026.9.24
Oh My PiCoding agent · solved within 5 attempts18.2%provisional · 52.4% tested18.2% first try · 1.0 attempts per task · harness version 18.18.6 to 18.19.0
OpenCodeCoding agent · solved within 5 attempts59.5%provisional · 88.1% tested59.5% first try · 1.0 attempts per task · harness version 1.19.5
SleipnirCoding agent · solved within 5 attempts13.6%provisional · 52.4% tested13.6% first try · 1.0 attempts per task · harness version 0.4.70 to 0.4.71
ZCodeCoding agent · solved within 5 attempts81.1%provisional · 88.1% tested81.1% 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.

  • ImpCCmxfp4
    1d 100.0%7d 99.4%reliability 1d 100.0%7d 99.9%turned away 1d 0.0%7d 0.5%Healthy
  • Consensus Protocolfp8
    1d 99.7%7d 97.8%reliability 1d 99.7%7d 99.7%turned away 1d 0.0%7d 1.9%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 tokens288.9Mlast 30 days
Completion tokens64.9Mlast 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": "inclusionai/ling-3.0-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

inclusionAI's Ling 3.0 Flash with MXFP4 expert and FP8 dense weights supports text input, reasoning, tool calling and structured JSON output. Each request has a 262,144-token context limit with at most 65,536 output tokens.

Author
inclusionAI
Family
inclusionai/ling-3.0-flash
Weights
ImpCC mxfp4: inclusionAI/Ling-3.0-flash-fp4Consensus Protocol fp8: inclusionAI/Ling-3.0-flash-fp8
Request parameters
allowed_token_ids (list), cache_salt (text), chat_template_kwargs (object), 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 (varies by provider), min_p (0–1), min_tokens (0–65536), n (1–1), parallel_tool_calls (true/false), presence_penalty (-2–2), prompt_logprobs (0–20), 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), thinking (object), 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
65.6B parameters, I8 weights
Tokenizer
—
Available until
—

From the model card

What the repository states about these weights, read from inclusionAI/Ling-3.0-flash-fp4 on Nov 9, 2026.

Languages
—
Papers
—
Datasets
—
Revision
3bae1cfAug 20, 2026
Downloads
1.2K
Likes
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