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Model Comparison

GPT Audio vs InklingWhich Is Better in 2026?

OpenAI: GPT Audio logoOpenAI•
Thinking Machines

GPT Audio vs Inkling: which should you choose in 2026?

GPT Audio (by OpenAI) and Inkling (by Thinking Machines) are compared below. Here is how they stack up on benchmarks, price, and capabilities, and which one to pick in 2026.

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

Choose GPT Audio if…

  • • your own prompt tests favor its output; shared comparable evidence does not identify a unique advantage

Choose Inkling if…

  • • you need a model with explicit reasoning support
  • • you need image inputs

The benchmark count includes only results measured with a matching benchmark version and protocol. Arena scores are shown separately. Missing, preliminary, and incompatible data is not treated as a controlled win. Published point-score comparisons are labeled separately when protocol details are incomplete. For text-output models, the verdict also compares token pricing and context windows.

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Performance benchmarks

Every value links to its source. A dash means that no reviewed result is available for that exact model and protocol.

GPT Audio and Inkling benchmark results
BenchmarkGPT AudioInkling
AutomationBench-AA

A 657-task benchmark of multi-step work across simulated SaaS applications in six business domains. The Artificial Analysis protocol reports a guardrail-aware score and is distinct from both the public Zapier split and the unrelated dynamic AutoBench framework.

Guardrail-aware score

——
BrowseComp

A benchmark of difficult, verifiable information-seeking questions designed to measure an agent's ability to locate hard-to-find facts through web browsing.

Accuracy

——
OSWorld-Verified

A verified computer-use benchmark in which multimodal agents operate desktop applications and are graded from the resulting environment state.

Mean task reward

——
SWE-Bench Verified

A human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests.

Resolved

——
Terminal-Bench 2.1

Version 2.1 of the benchmark for completing realistic tasks in terminal environments. Harness, resource limits, and attempt count are part of the protocol.

Mean task success

——
AutoBench

A dynamic LLM evaluation framework in which models generate questions, answer them, and participate in reciprocal peer assessment. AutoBench is distinct from Zapier's AutomationBench.

Weighted peer-assessment score

——
GPQA Diamond

The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry.

Accuracy

—
87.2%
Artificial Analysis
Humanity's Last Exam

A 2,500-question expert-level benchmark spanning dozens of academic fields. Tool-assisted and no-tools results are separate protocols and must not be merged.

Accuracy

——
LiveBench

A contamination-resistant benchmark refreshed on a fixed release cadence. Scores from different LiveBench releases must never be compared as the same protocol.

Mean of category averages

—
71.9%
LiveBench

Benchmark sources

Reviewed evidence last updated 2026-08-09.

Pricing, capabilities, and model facts

GPT Audio and Inkling model facts
FeatureGPT AudioInkling
Context & model facts
DeveloperOpenAIThinking Machines
API providerOpenAIThinking Machines
Input context128,000 tokens1,048,576 tokens
Maximum output16,384 tokens262,144 tokens
Released——
Added to WritingmateJan 19, 2026Jul 17, 2026
LicenseNot availableNot available
Knowledge cutoff——
Capabilities
InputsText, AudioText, Image, Audio
OutputsText, AudioText
Provider endpoint accepts tool parametersYesYes
ReasoningNoYes
VisionNoYes
Image GenerationNoNo
Video GenerationNoNo
API performance
p95 latencyNot measuredNot measured
Output throughputNot measuredNot measured
Writingmate shows API performance only when both models have enough observations from the same measurement window, prompt profile, and provider. Third-party latency values are not copied into this table.

Data sources

  • Writingmate model catalog (pricing, limits, and availability)

Catalog data last updated Jul 17, 2026.

Why Pay for Multiple Subscriptions?

Comparing GPT Audio from OpenAI with Inkling from Thinking Machines? Instead of managing separate API keys and subscriptions, get both with Writingmate.

Subscription-plan access for GPT Audio and Inkling
PlanPriceGPT AudioInklingAI ImagesAI Video
Writingmate Pro
Most popular
$20/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1
Writingmate Ultimate
Power users
$60/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1
View Plans & Pricing

GPT Audio vs Inkling FAQ

Which is better, GPT Audio or Inkling?

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

Which model is cheaper to use through an API?

A comparable blended token price is not available for both models. Check the API pricing rows for the values that are currently published.

Which model supports more context?

Comparable context-window data is not available for both models.

Can I switch between GPT Audio and Inkling?

Yes. Use the model selector on this page to open any current Writingmate model comparison. You can also run the same prompt with both models in Writingmate.