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BenchLM
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Model A
Inworld Realtime TTS-2

Inworld

—

Evidence status unavailable

90% interval unavailable

Inworld Realtime TTS-2 vs Qwen3.6-27B

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Alibaba logo
Model B
Qwen3.6-27B

Alibaba

47.69/100

Estimated · Public rank #142

90% interval 41.9–53.5

Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.

0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Inworld Realtime TTS-2 is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Inworld Realtime TTS-2 is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Not enough matched evidence

    A complete context comparison is not sourced.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
0
Inworld Realtime TTS-2 only
0
Qwen3.6-27B only
38
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
30.9
Supported · #140/152
Basis
BenchAlign lane · 0 vs 6 public rows
Reading
Not comparable

Coding

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
41.7
Supported · #107/151
Basis
BenchAlign lane · 0 vs 6 public rows
Reading
Not comparable

Reasoning

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
74.1
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
46.6
Estimated · #101/183
Basis
BenchAlign lane · 0 vs 6 public rows
Reading
Not comparable

Math

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
72.8
Unranked · 5 rankable rows
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
51.9
#35/48
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Inworld Realtime TTS-2
Not ranked
Qwen3.6-27B
82.4
#51/123
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Inworld Realtime TTS-2
API rate not published
Fit state unavailable
Qwen3.6-27B
Self-hosted; infrastructure cost varies
Fits in one request

Inworld Realtime TTS-2 has no comparable published API token rate. Qwen3.6-27B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Inworld Realtime TTS-2
API rate not published
Fit state unavailable
Qwen3.6-27B
Self-hosted; infrastructure cost varies
Fits in one request

Inworld Realtime TTS-2 has no comparable published API token rate. Qwen3.6-27B has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Inworld Realtime TTS-2
API rate not published
Fit state unavailable
Cached-input rate unavailable
Qwen3.6-27B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Inworld Realtime TTS-2 has no comparable published API token rate. Qwen3.6-27B has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Inworld Realtime TTS-2

N/A

Qwen3.6-27B

262K

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Inworld Realtime TTS-2

No comparable hosted API rate

Inworld model documentation

Qwen3.6-27B

No comparable hosted API rate

Documented inputs

Inworld Realtime TTS-2

Not sourced

Qwen3.6-27B

Not sourced

Documented outputs

Inworld Realtime TTS-2

Not sourced

Qwen3.6-27B

Not sourced

Provider availability

Inworld Realtime TTS-2

Not sourced

Qwen3.6-27B

Not sourced

Reasoning profile

Inworld Realtime TTS-2

Non-Reasoning

Qwen3.6-27B

Reasoning

Weight access

Inworld Realtime TTS-2

Proprietary

Qwen3.6-27B

Open Weight

License

Inworld Realtime TTS-2

Proprietary

Qwen3.6-27B

Open Weight

Release date

Inworld Realtime TTS-2

2026-08-31

Qwen3.6-27B

2026-04-21

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
A complete documented context comparison is not available.

Run the same representative tasks against both endpoints before changing production traffic.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Inworld Realtime TTS-2
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Qwen3.6-27B
API / mo$0
Self-host / mo$429
Break-even—
Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence38 rows

Agentic

  • Terminal-Bench 2.0

    Inworld Realtime TTS-2—
    Qwen3.6-27B59.3%
    Source

    Not directly comparable

  • Claw-Eval

    Inworld Realtime TTS-2—
    Qwen3.6-27B72.4%
    Source

    Not directly comparable

  • QwenClawBench

    Inworld Realtime TTS-2—
    Qwen3.6-27B53.4%
    Source

    Not directly comparable

  • QwenWebBench

    Inworld Realtime TTS-2—
    Qwen3.6-27B1487
    Source

    Not directly comparable

  • AndroidWorld

    Inworld Realtime TTS-2—
    Qwen3.6-27B70.3%
    Source

    Not directly comparable

  • Gert Labs

    Inworld Realtime TTS-2—
    Qwen3.6-27B54.84%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Inworld Realtime TTS-2—
    Qwen3.6-27B77.2%
    Source

    Not directly comparable

  • SWE Multilingual

    Inworld Realtime TTS-2—
    Qwen3.6-27B71.3%
    Source

    Not directly comparable

  • SWE-bench Pro

    Inworld Realtime TTS-2—
    Qwen3.6-27B53.5%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Inworld Realtime TTS-2—
    Qwen3.6-27B59.3%
    Source

    Not directly comparable

  • LiveCodeBench

    Inworld Realtime TTS-2—
    Qwen3.6-27B83.9%
    Source

    Not directly comparable

  • NL2Repo

    Inworld Realtime TTS-2—
    Qwen3.6-27B36.2%
    Source

    Not directly comparable

Knowledge

  • MMLU-Pro

    Inworld Realtime TTS-2—
    Qwen3.6-27B86.2%
    Source

    Not directly comparable

  • MMLU-Redux

    Inworld Realtime TTS-2—
    Qwen3.6-27B93.5%
    Source

    Not directly comparable

  • SuperGPQA

    Inworld Realtime TTS-2—
    Qwen3.6-27B66%
    Source

    Not directly comparable

  • C-Eval

    Inworld Realtime TTS-2—
    Qwen3.6-27B91.4%
    Source

    Not directly comparable

  • GPQA

    Inworld Realtime TTS-2—
    Qwen3.6-27B87.8%
    Source

    Not directly comparable

  • HLE

    Inworld Realtime TTS-2—
    Qwen3.6-27B24%
    Source

    Not directly comparable

Math

  • HMMT Feb 2025

    Inworld Realtime TTS-2—
    Qwen3.6-27B93.8%
    Source

    Not directly comparable

  • HMMT Nov 2025

    Inworld Realtime TTS-2—
    Qwen3.6-27B90.7%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Inworld Realtime TTS-2—
    Qwen3.6-27B84.3%
    Source

    Not directly comparable

  • MMAnswerBench

    Inworld Realtime TTS-2—
    Qwen3.6-27B80.8%
    Source

    Not directly comparable

  • AIME26

    Inworld Realtime TTS-2—
    Qwen3.6-27B94.1%
    Source

    Not directly comparable

Multimodal

  • MMMU

    Inworld Realtime TTS-2—
    Qwen3.6-27B82.9%
    Source

    Not directly comparable

  • MMMU-Pro

    Inworld Realtime TTS-2—
    Qwen3.6-27B75.8%
    Source

    Not directly comparable

  • RealWorldQA

    Inworld Realtime TTS-2—
    Qwen3.6-27B84.1%
    Source

    Not directly comparable

  • DynaMath

    Inworld Realtime TTS-2—
    Qwen3.6-27B85.6%
    Source

    Not directly comparable

  • MStar

    Inworld Realtime TTS-2—
    Qwen3.6-27B81.4%
    Source

    Not directly comparable

  • SimpleVQA

    Inworld Realtime TTS-2—
    Qwen3.6-27B56.1%
    Source

    Not directly comparable

  • CharXiv

    Inworld Realtime TTS-2—
    Qwen3.6-27B78.4%
    Source

    Not directly comparable

  • CC-OCR

    Inworld Realtime TTS-2—
    Qwen3.6-27B81.2%
    Source

    Not directly comparable

  • CountBench

    Inworld Realtime TTS-2—
    Qwen3.6-27B97.8%
    Source

    Not directly comparable

  • RefCOCO (avg)

    Inworld Realtime TTS-2—
    Qwen3.6-27B92.5%
    Source

    Not directly comparable

  • ERQA

    Inworld Realtime TTS-2—
    Qwen3.6-27B62.5%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    Inworld Realtime TTS-2—
    Qwen3.6-27B87.7%
    Source

    Not directly comparable

  • VideoMMMU

    Inworld Realtime TTS-2—
    Qwen3.6-27B84.4%
    Source

    Not directly comparable

  • MLVU (M-Avg)

    Inworld Realtime TTS-2—
    Qwen3.6-27B86.6%
    Source

    Not directly comparable

  • V*

    Inworld Realtime TTS-2—
    Qwen3.6-27B94.7%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Inworld Realtime TTS-2 or Qwen3.6-27B?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Inworld Realtime TTS-2 or Qwen3.6-27B?

Inworld Realtime TTS-2 is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Inworld Realtime TTS-2 or Qwen3.6-27B?

Inworld Realtime TTS-2 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Inworld Realtime TTS-2 or Qwen3.6-27B?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Inworld Realtime TTS-2 or Qwen3.6-27B?

A complete documented context-window comparison is not available.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 10, 2026

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