MiniMax • audio
MiniMax speech stack with HD and turbo variants, native sound-tag support and high-fidelity cloning for developer-facing audio generation.
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Speech 2.8 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Audio API Readiness | 88.0 | 100.0 | SWEN Audio Registry v2026-06-22. Editorial multimodal ranking with modality-specific scoring based on product capability, control, speed, value and integration readiness. |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Audio Composite | 90.6 | 100.0 | SWEN Audio Registry v2026-06-22. Editorial multimodal ranking with modality-specific scoring based on product capability, control, speed, value and integration readiness. |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Audio Control | 92.0 | 100.0 | SWEN Audio Registry v2026-06-22. Editorial multimodal ranking with modality-specific scoring based on product capability, control, speed, value and integration readiness. |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Audio Latency | 90.0 | 100.0 | SWEN Audio Registry v2026-06-22. Editorial multimodal ranking with modality-specific scoring based on product capability, control, speed, value and integration readiness. |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Audio Quality | 93.0 | 100.0 | SWEN Audio Registry v2026-06-22. Editorial multimodal ranking with modality-specific scoring based on product capability, control, speed, value and integration readiness. |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Audio Value | 85.0 | 100.0 | SWEN Audio Registry v2026-06-22. Editorial multimodal ranking with modality-specific scoring based on product capability, control, speed, value and integration readiness. |
Speech 2.8 is an AI model developed by MiniMax, classified as a audio model. It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via MiniMax's cloud API.
Speech 2.8 does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check MiniMax's official website for up-to-date availability and pricing.
Speech 2.8 was evaluated on 6 different benchmarks, covering categories like API Readiness, audio, Control, Latency, Quality, Value. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Speech 2.8 specializes in audio, offering advanced capabilities for creating and processing audio content.
In the 2026 AI model ecosystem, Speech 2.8 competes directly with similarly capable models. MiniMax competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
MiniMax speech stack with HD and turbo variants, native sound-tag support and high-fidelity cloning for developer-facing audio generation.
Speech 2.8 does not have public per-token pricing available at this time. Check MiniMax's official website for up-to-date information.
In available benchmarks, Speech 2.8 scored: SWEN Audio API Readiness: 88/100, SWEN Audio Composite: 90.6/100, SWEN Audio Control: 92/100. See the full table above for a detailed comparison.
No, Speech 2.8 is a proprietary model from MiniMax. It is available via cloud API. For open source alternatives, check our open source model ranking.
Speech 2.8 excels at general-purpose language tasks.
Last updated: June 22, 2026 • View methodology →