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ModelScale

LLaDA2.2-mini

InclusionAI · Open Weight · bench-align-v5

Self-hosted
Canonical idllada2-2-mini
Overall scoreUnavailable
Context window128K tokens
Release date2026-07-16
Access typeOpen Weight
Blended $/1MUnavailable75% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

AgenticUnavailable
CodingUnavailable
KnowledgeUnavailable
ReasoningUnavailable
Multimodal & GroundedUnavailable
Instruction FollowingUnavailable
MathUnavailable

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: ObservedUnavailable

Runtime measurements
MeasurementValueObservedLast goodEvidence
Time to first tokenUnavailableUnavailableUnavailable
ThroughputUnavailableUnavailableUnavailable

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
ComponentUSDEvidence
Input / 1M tokensUnavailable
Output / 1M tokensUnavailable
Cache read / 1M tokensUnavailable
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)Unavailable
Self-hosted listingInclusionAI publishes LLaDA2.2-mini under Apache-2.0 for self-hosting and does not publish a first-party hosted token rate for this exact checkpoint. We represent the open-weight row as self-host/free-per-token before infrastructure costs.No hosted token rate was published for this model, so its per-token price is unavailable rather than zero.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly costUnavailableThe applicable input rate is unavailable.
Modelled tokensUnavailable
Open the simulatorChange this workload

Benchmark record

9 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
BenchmarkValueTasksDifficultyProvenance
GPQA-D
GPQA Diamond
44.4Graduate-level science questionsGraduate levelTrinity-Large-Thinking: Scaling an Open Source Frontier Agent

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
LiveCodeBench v6
LiveCodeBench v6
28.1Fresh programming problemsCompetitive programming levelLiveCodeBench official repository and release documentation

Mathematics

Mathematics benchmarks
BenchmarkValueTasksDifficultyProvenance
AIME26
AIME 2026
35.0Competition math problemsOlympiad-style mathematicsQwen3.6 launch benchmarks

Reasoning

Reasoning benchmarks
BenchmarkValueTasksDifficultyProvenance
LongBench v2
LongBench v2
34.99Long-context tasksHard long-contextLongBench v2

Instruction Following

Instruction Following benchmarks
BenchmarkValueTasksDifficultyProvenance
IFBench
Instruction Following Benchmark
24.93BenchLM

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
τ²-bench results
τ²-Bench Tool-Agent-User Evaluation
57.5Airline, retail, and telecom customer-service task setsDual-control customer-service workflowsτ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment
PinchBench
PinchBench
62.323 OpenClaw agent tasksLong-horizon agent workflowsAbout PinchBench
BFCL v4
Berkeley Function Calling Leaderboard v4
47.7Function-calling tasksAdvanced tool useTrinity-Large-Thinking: Scaling an Open Source Frontier Agent
Claw-Eval
Claw-Eval
57.2300 tasks, 2,159 rubricsReal-world general, multi-turn, and native multimodal agent executionClaw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.