Qwen 3.6 27B on Groq API Pricing: Extreme LPU Speed for Bilingual AI
Comprehensive Qwen 3.6 27B on Groq API pricing analysis ($0.60/M input, $3.00/M output), LPU hardware acceleration (600+ tps), bilingual reasoning, and open-weights ROI.
How much does Qwen 3.6 27B cost per million tokens?
Qwen 3.6 27B on Groq costs $0.60 per million input tokens and $3.00 per million output tokens ($1.20/M blended at 3:1). Combines elite Chinese/English bilingual reasoning with extreme inference speed (600+ tps) powered by Groq LPUs. Verified 2026-09-08.
How much does Qwen 3.6 27B cost per 1,000 requests?
Computed from generated token pricing. Each row assumes the listed input and output tokens per request; this model has no measured verbosity factor, so the unadjusted output estimate is shown.
| Request shape | Input tokens | Output tokens | Cost / 1,000 requests |
|---|---|---|---|
| Short | 100 | 50 | $0.2100 |
| Medium | 1,000 | 500 | $2.1000 |
| Long | 4,000 | 2,000 | $8.4000 |
Formula: ((input price × input tokens) + (output price × output tokens × verbosity factor)) ÷ 1,000,000 × 1,000. Assumptions: short 100/50, medium 1,000/500, long 4,000/2,000 input/output tokens per request. Unadjusted — no measured verbosity factor is available.
Volume ladder, output-cost sensitivity, and migration ledger for Qwen 3.6 27B
1. Fixed-shape monthly cost ladder
| Workload | Input / output tokens | 100K requests | 1M requests | 10M requests |
|---|---|---|---|---|
| Short chat | 500 / 150 | $75.00 | $750.00 | $7500.00 |
| Code review | 4,000 / 800 | $480.00 | $4800.00 | $48000.00 |
| Document summary | 16,000 / 2,000 | $1560.00 | $15600.00 | $156000.00 |
Cost = requests × (input tokens × $0.60/M + output tokens × $3.00/M) ÷ 1,000,000, at three fixed text-token workload shapes. No volume discount, cache, or batch rate is inferred — Qwen 3.6 27B's registry entry does not price those tiers.
2. Output-token cost-sensitivity band
| Workload | Input cost (1 request) | Output cost (1 request) | Output share of spend |
|---|---|---|---|
| Short chat | $0.0003 | $0.0004 | 60.0% |
| Code review | $0.0024 | $0.0024 | 50.0% |
| Document summary | $0.0096 | $0.0060 | 38.5% |
Output share = output-token spend ÷ (input-token spend + output-token spend) for a single request at each shape. Across these three shapes, Qwen 3.6 27B's output share spans 38.5% to 60.0% — a 21.5%-point swing driven entirely by workload shape, not by any change in the $0.60/$3.00 per-1M rates.
3. Successor rate delta and lifecycle ledger
| Rate | Qwen 3.6 27B | Qwen 3.8 30B | Delta ($ / %) |
|---|---|---|---|
| Input $/M | $0.60 | $0.60 | $0.0000 (0.0%) |
| Output $/M | $3.00 | $3.00 | $0.0000 (0.0%) |
Delta = successor rate − Qwen 3.6 27B rate, both taken from the current dated pricing registry. Cache, batch, and context-tier pricing are not substituted across models; each figure is model-specific or marked Unavailable.
| Field | Recorded value | Note |
|---|---|---|
| Lifecycle status | legacy | Verified 2026-08-14 |
| Deprecation announced | Unavailable | No inference beyond the dated record |
| Shutdown date | Unavailable | Null/unavailable is not a promise of indefinite availability |
| Successor | Qwen 3.8 30B | qwen3-8-30b priced in this registry |
| Context window | Unavailable | Unavailable — no model-specific spec sourced |
Price verified 2026-06-19; lifecycle verified 2026-08-14. Luna is the data owner. "Unavailable" means no compatible dated evidence was found for that field; it is never treated as zero. Dated price source · lifecycle source · Test Qwen 3.6 27B in All AI Ask.
qwen3-6-27bQwen 3.6 27B on Groq API Pricing: Extreme LPU Speed for Bilingual AI
Qwen 3.6 27B on Groq costs $0.60 per million input tokens and $3.00 per million output tokens ($1.20/M blended at 3:1). Combines elite Chinese/English bilingual reasoning with extreme inference speed (600+ tps) powered by Groq LPUs. Verified 2026-09-08.
Groq LPU hardware powers Qwen 3.6 27B at extreme velocity and competitive token costs.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Cross-border bilingual document translation (4K in, 2K out): $0.00840 per document |
| Scenario 2 | Mandarin/English customer service turn (1.5K in, 300 out): $0.00180 per message |
| Scenario 3 | Bilingual coding snippet refactor (3K in, 1K out): $0.00480 per snippet |
| Scenario 4 | Real-time live voice translation turn (800 in, 200 out): $0.00108 per turn |
| Scenario 5 | Technical manual localization review (10K in, 3K out): $0.01500 per section |
| Scenario 6 | Monthly 50M token bilingual enterprise workload: $60.00 infrastructure budget |
LPU hardware delivers 5x to 8x faster streaming generation than conventional GPU clusters.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Generates 600+ tokens per second: renders a 500-token response in under 0.9 seconds |
| Scenario 2 | Time-to-first-token latency under 120ms enables instant interactive application feedback |
| Scenario 3 | Deterministic LPU architecture guarantees consistent latency without GPU thermal throttling |
| Scenario 4 | High-speed bilingual synthesis makes real-time conversational voice translation viable |
| Scenario 5 | Eliminates developer waiting time during iterative code generation and validation loops |
| Scenario 6 | Delivers superior cost-performance ratio for time-sensitive production user interfaces |
Managed LPU inference provides massive TCO savings over self-hosted infrastructure below 3.9B tokens/mo.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Managed Groq API spend at 50M tokens/mo: $60.00 total infrastructure spend |
| Scenario 2 | Managed Groq API spend at 500M tokens/mo: $600.00 total infrastructure spend |
| Scenario 3 | Managed Groq API spend at 2B tokens/mo: $2,400.00 total infrastructure spend |
| Scenario 4 | Self-hosted cluster break-even threshold: >3.9 billion tokens per month |
| Scenario 5 | Managed API eliminates GPU cluster maintenance, cold starts, and DevOps operational overhead |
| Scenario 6 | Strong recommendation: utilize Groq managed LPU API for all workloads under 3.5B tokens/mo |
How fast is Qwen 3.6 27B?
How much does Qwen 3.6 27B cost at scale?
| Tokens / month | Est. cost (blended 3:1) |
|---|---|
| 100,000 | $0.12 |
| 1,000,000 | $1.20 |
| 10,000,000 | $12.00 |
| 100,000,000 | $120.00 |
How does Qwen 3.6 27B compare with other models?
What should you explore next for Qwen 3.6 27B?
What are common questions about Qwen 3.6 27B?
Is Qwen 3.6 27B cheaper than Qwen 3.8 30B?
Qwen 3.6 27B costs $1.20/M blended tokens, Qwen 3.8 30B costs $1.20/M — Qwen 3.8 30B is cheaper.
How much does 1 million tokens cost with Qwen 3.6 27B?
At a 3:1 input:output ratio, 1 million blended tokens costs approximately $1.20. Pure input costs $0.60/M; pure output costs $3.00/M.
What does Qwen 3.6 27B cost at high volume?
At 100 million blended tokens a month, Qwen 3.6 27B costs approximately $120.00. See the cost-at-scale table below for other volumes.
