Claude 4.8 Opus vs Qwen3-Omni-Flash
Compare pricing, context windows, and strengths for Claude 4.8 Opus by Anthropic and Qwen3-Omni-Flash by Alibaba Cloud - and see how to put either to work in Appaca.
Claude 4.8 Opus
Anthropic's flagship model for coding and agents, building on Opus 4.7 with stronger reliability, a cheaper fast mode, and gains across coding, computer use, and professional work.
View Claude 4.8 OpusQwen3-Omni-Flash
Hybrid thinking multimodal model with upgraded vision, audio, and agent abilities.
View Qwen3-Omni-FlashClaude 4.8 Opus vs Qwen3-Omni-Flash at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Claude 4.8 Opus | Qwen3-Omni-Flash |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model type | Text | Multimodal |
| Context window | 1M tokens | 65.5K tokens |
| Input price | $5 / 1M tokens | $0.43 / 1M tokens |
| Output price | $25 / 1M tokens | $1.66 / 1M tokens |
| Status | Current | Current |
How Claude 4.8 Opus and Qwen3-Omni-Flash differ
What the numbers mean in practice when choosing between Claude 4.8 Opus and Qwen3-Omni-Flash.
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Qwen3-Omni-Flash is 91% cheaper on input tokens ($0.43 vs $5 per million), which adds up quickly in document-heavy workloads.
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Qwen3-Omni-Flash is 93% cheaper on output tokens ($1.66 vs $25 per million) - the bigger factor for tools that generate long documents.
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Claude 4.8 Opus's 1M tokens context window is roughly 15.3x larger than Qwen3-Omni-Flash's 65.5K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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These are different kinds of model: Claude 4.8 Opus is a text model while Qwen3-Omni-Flash is a multimodal model, so they often complement each other in a workflow rather than compete.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Claude 4.8 Opus
1. Modest but tangible gains across the board
- 69.2% on SWE-bench Pro (+4.9 points over Opus 4.7's 64.3%), 88.6% on SWE-bench Verified, and a 1,890 Elo on GDPval-AA - about 121 Elo ahead of GPT-5.5.
- Anthropic frames it as an incremental refinement of Opus 4.7 rather than a step-change release.
2. The most reliable agent model Anthropic has shipped
- The only model to complete every case end-to-end on Anthropic's internal Super-Agent benchmark, beating prior Opus models and GPT-5.5 at parity on cost.
- Leads CursorBench across every effort level with more efficient tool calling - fewer steps for the same intelligence.
- 84% on Online-Mind2Web and stronger OSWorld-Verified scores make it the strongest computer-use and browser-agent model Anthropic has tested.
3. New highs for professional and legal work
- Highest score ever recorded on Anthropic's Legal Agent Benchmark, and the first model to break 10% on its all-pass standard.
- Roughly a 4x improvement in honesty and calibrated uncertainty versus Opus 4.7 on Anthropic's evaluations.
4. Cheaper, faster controls
- Standard pricing holds at $5/M input and $25/M output, unchanged from Opus 4.7.
- Fast mode now runs at 2.5x speed for $10/M input and $50/M output - about a third of what fast mode cost on prior Opus releases.
- A new effort dial gives finer control over how hard the model works before answering.
5. Long-horizon agent workflows
- 1M token context window in beta and up to 128K output tokens.
- Introduces Dynamic Workflows (research preview) in Claude Code - Opus can write its own orchestration script and run up to 16 concurrent / 1,000 total subagents in a single session.
Qwen3-Omni-Flash
1. Advanced multimodal reasoning
- Vision, audio, video inputs.
2. Supports thinking mode
- Unique for multimodal.
3. 17 voices, 10 languages
- Great for voice agents.
4. Designed for real-world interactions
- Recognition, teaching, analysis.
Use Claude 4.8 Opus or Qwen3-Omni-Flash - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Claude 4.8 Opus or Qwen3-Omni-Flash - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by Claude 4.8 Opus or Qwen3-Omni-Flash. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Claude 4.8 Opus, test the same tool on Qwen3-Omni-Flash, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by Claude 4.8 Opus or Qwen3-Omni-Flash - connected to the tools you already use.
Related comparisons
See how Claude 4.8 Opus and Qwen3-Omni-Flash stack up against other models in the directory.
FAQs
Qwen3-Omni-Flash is generally cheaper: $0.43 input / $1.66 output per million tokens, versus $5 / $25 for Claude 4.8 Opus. Actual cost depends on how many tokens your workload reads and writes.
Claude 4.8 Opus has the larger context window at 1M tokens, compared to 65.5K tokens for Qwen3-Omni-Flash. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Claude 4.8 Opus, test the same tool on Qwen3-Omni-Flash, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by Claude 4.8 Opus, Qwen3-Omni-Flash, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with Claude 4.8 Opus or Qwen3-Omni-Flash
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.