Undominated.ai

Model comparison · accepted catalogue facts 2026-09-23

Qwen3.6 27B vs Qwen3.8 27B

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Editorial comparison: Exact dense model revisions Inclusion does not recommend either model.

Qwen3.6 27B

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

—

Balanced effective USD / 1M tokens · lower is better

$0.915/M

Qwen3.8 27B

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

1439.3

Balanced effective USD / 1M tokens · lower is better

$1.06/M

Compare · model decision

Choose two or three models

Inspect the differences, estimate your workload and keep the evidence. All standard catalogue models are available, including unrated ones.

Catalogue facts
2026-09-23

2 / 3 selected · 0 requirements
Open public comparison link
Public workload and requirements

These settings are included in the share link. The fixed-request scenario and private evaluation data below are excluded.

A ↔ B

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Estimated blend: 75% input, 25% output; 0% cached input. Base context tier. Prompt length selects the billing tier. An unlisted cache-read rate uses that tier’s full input rate in this blend; missing required input or output rates prevent an estimate. The fixed-request estimate below validates actual context and output limits and requires a published cache-read rate when cache hits are assumed.

What changes between these models

Quality first, then estimated price. LMArena scores are human-preference measurements, not a benchmark of your application. A missing score is unrated.

  • Qwen3.6 27B · Meets the stated model requirements
  • Qwen3.8 27B · Meets the stated model requirements
Material differences and unknown evidence. Deltas compare each model with model A. Unknown facts remain visible.
Measured factA Qwen3.6 27BB Qwen3.8 27B
LMArena general score (Elo)Unknown1,439.3
Score interval half-width (± Elo)Unknown6.43
Benchmark reasoning effortUnknowndefault
LMArena document score (Elo)UnknownUnknown
Estimated effective USD / 1M tokens$0.915$1.065Δ vs A: +0.15 USD/M
Base input USD / 1M tokens$0.32$0.42Δ vs A: +0.1 USD/M
Base output USD / 1M tokens$2.7$3Δ vs A: +0.3 USD/M
Base cached-input USD / 1M tokens$0.15$0.085Δ vs A: -0.065 USD/M
Context window (tokens)262,1441,000,000Δ vs A: +737,856 tokens
Output limit (tokens)262,140131,072Δ vs A: -131,068 tokens
Open weightsUnknownSupported
Recorded licenceUnknownapache-2.0
Distinct sellers in the catalogue616Δ vs A: +10
Recorded retirement dateUnknownUnknown
6 shared measured facts
Shared measured facts. Deltas compare each model with model A. Unknown facts remain visible.
Measured factA Qwen3.6 27BB Qwen3.8 27B
Input modalitiestext, image, videotext, image, video
Tool useSupportedSupportedΔ vs A: 0
ReasoningSupportedSupportedΔ vs A: 0
Model providerQwenQwen
Serving precision differs across offersSupportedSupportedΔ vs A: 0
Retirement evidenceNone announced; not a guaranteeNone announced; not a guarantee

Provider counts and precision flags describe catalogue offers. They do not establish the precision, availability, region, tool behaviour or limits of your chosen endpoint. Open each model’s provider table before switching.

Complete price ladders and billing conditions

Qwen3.6 27B

Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token thresholdInputOutputCached input
Base, up to and including first threshold$0.32$2.7$0.15

Qwen3.8 27B

Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token thresholdInputOutputCached input
Base, up to and including first threshold$0.42$3$0.085
Migration preflight · compare each candidate with model A

Keeping Qwen3.6 27B is a valid decision. No pairwise comparison certifies a drop-in replacement.

Qwen3.6 27B → Qwen3.8 27B

Known loss or failed requirement

  • Output limit: 262,140 → 131,072 tokens.
  • Provider endpoint, serving precision, availability and task success need your own verification. Catalogue model capabilities do not certify an endpoint.
Check alternatives to Qwen3.6 27B

Estimate a fixed request shape

Private to this tab unless you save locally or explicitly export private details. These are estimates, not observed invoices. Cross-model token counts and task success are assumptions.

0.1 extra attempts means 10 extra full attempts per 100 requests. Cache writes, tool charges, taxes and unlisted charges are excluded.

  • Qwen3.6 27BEstimated total: $1.99 1,000 full attempts · base rates
  • Qwen3.8 27BEstimated total: $2.34 1,000 full attempts · base rates
Prompt and output sensitivity · sampled scenarios

Every point recalculates the entire request shape. Tier-boundary samples include one token below, at and above each threshold. Ordering between samples is not guaranteed. Lowest known cost excludes unknown estimates and is not a replacement recommendation.

Vary input; hold output, requests, cache and retries fixed.
Input tokensQwen3.6 27BQwen3.8 27BCoverage
2,000$1.99Lowest known$2.34All computed
4,096$2.66072Lowest known$3.22032All computed
32,768$11.83576Lowest known$15.26256All computed
131,072$43.29304Lowest known$56.55024All computed
Vary output; hold input, requests, cache and retries fixed.
Output tokensQwen3.6 27BQwen3.8 27B
128$0.9856$1.224
2,048$6.1696$6.984
8,192$22.7584$25.416

Bring your observed evaluation results

JSON is parsed locally. Prompts, filenames, individual responses and extra fields are not retained. Import only aggregate measurements for selected models. Task/version labels do not establish that two evaluations used the same dataset.

Expected format
[{"model":"provider/exact-model-id","task":"support-answer","version":"rubric-1","attempts":100,"successes":84,"costUsd":2.4,"latencyMs":950}]

Use the exact catalogue ID. Replace the example values with observed measurements. Omit costUsd or latencyMs when they are unknown. No public score is inferred from these observations.

Keep the decision and its evidence

A portable record retains selected facts, complete tier ladders, public requirements and the publication manifest. It also embeds the full permitted public catalogue to verify the input artifact checksum. Files are larger for this reason (up to 2 MB); local storage is limited to 12 records. Team review is local to this browser; there is no hosted collaboration.

Saving is opt-in and includes private review fields. Shared comparison links never include them. Version 1 Check references remain separate and are not overwritten or guessed into this format.

Saved local decisions · 0

No version 2 decision records are stored in this browser.

Questions this page answers

Is Qwen3.6 27B a better-and-cheaper replacement for Qwen3.8 27B?

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

What is included in this comparison?

Accepted model capabilities, context and output limits, complete price-tier ladders, independent LMArena measurements and missing evidence. Provider endpoint precision and application success still need verification.

Can I compare a different workload or keep a decision record?

Yes. Change the public workload, prompt length and requirements in the comparison workspace. Fixed-request scenarios, aggregate evaluations and review notes stay local unless explicitly exported.

Evidence & Ask