Krea 2 Large vs Muse Spark 1.2: which should you choose in 2026?
Krea 2 Large (by Krea) and Muse Spark 1.2 (by Meta) 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 Krea 2 Large if…
- • you need image generation
Choose Muse Spark 1.2 if…
- • you need a model with explicit reasoning support
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.
Performance benchmarks
Every value links to its source. A dash means that no reviewed result is available for that exact model and protocol.
| Benchmark | Krea 2 Large | Muse Spark 1.2 |
|---|---|---|
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 | — | — |
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 | — | — |
A verified computer-use benchmark in which multimodal agents operate desktop applications and are graded from the resulting environment state. Mean task reward | — | — |
A long-horizon software-engineering benchmark with 113 original tasks graded by hand-written tests. Pass@1 | — | 55.0%±2.0 DataCurve |
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 | — | — |
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 | — | — |
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 | — | — |
The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry. Accuracy | — | 90.4% Artificial Analysis |
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 | — | 45.5% Artificial Analysis |
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 | — | 78.0% LiveBench |
| Arena preference scores | ||
Human preference score for generated images | 1105 ±5 | — |
Benchmark sources
- Arena AI leaderboard
- DeepSWE 1.1 Leaderboard
- GPQA Diamond Benchmark Leaderboard
- Humanity's Last Exam Benchmark Leaderboard
- LiveBench 2026-06-25 Leaderboard
Reviewed evidence last updated 2026-08-09. Arena data last refreshed Aug 9, 2026.
Pricing, capabilities, and model facts
| Feature | Krea 2 Large | Muse Spark 1.2 |
|---|---|---|
| Context & model facts | ||
| Developer | Krea | Meta |
| API provider | Krea | Meta |
| Input context | 65,536 tokens | 1,048,576 tokens |
| Maximum output | — | — |
| Released | — | — |
| Added to Writingmate | Jul 20, 2026 | Aug 5, 2026 |
| License | Not available | Not available |
| Knowledge cutoff | — | — |
| Capabilities | ||
| Inputs | Text, Image | Text, Image, Video, File, Audio |
| Outputs | Image | Text |
| Provider endpoint accepts tool parameters | No | Yes |
| Reasoning | No | Yes |
| Vision | Yes | Yes |
| Image Generation | Yes | No |
| Video Generation | No | No |
| API performance | ||
| p95 latency | Not measured | Not measured |
| Output throughput | Not measured | Not 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 Aug 5, 2026.
Why Pay for Multiple Subscriptions?
Comparing Krea 2 Large from Krea with Muse Spark 1.2 from Meta? Instead of managing separate API keys and subscriptions, get both with Writingmate.
| Plan | Price | Krea 2 Large | Muse Spark 1.2 | AI Images | AI Video |
|---|---|---|---|---|---|
Writingmate Pro Most popular | $20/mo | Included | Included | Nano Banana Pro, FLUX.2, DALL-E & more | Sora 2, VEO 3.1 |
Writingmate Ultimate Power users | $60/mo | Included | Included | Nano Banana Pro, FLUX.2, DALL-E & more | Sora 2, VEO 3.1 |
Krea 2 Large vs Muse Spark 1.2 FAQ
Which is better, Krea 2 Large or Muse Spark 1.2?
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 Krea 2 Large and Muse Spark 1.2?
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.
Related comparisons
More Krea 2 Large comparisons
Qwen Image 3
Qwen
Qwen Image 3 is a unified image generation and editing model from Qwen.
Qwen Image 3 Pro
Qwen
Qwen Image 3 Pro is an image generation and editing model from Qwen.
MAI-Image-2.5 Pro
Microsoft
Microsoft's MAI-Image-2.5 is a high-quality image generation model available via Azure AI Foundry.
GPT Image 1 Mini
OpenAI
A cost-efficient variant of GPT Image 1 for high-quality image generation at reduced latency and cost via OpenAI's dedicated Images API.
Riverflow V2.5 Pro
Sourceful
Riverflow V2.5 Pro is the most powerful variant of Sourceful's Riverflow 2.5 lineup, best for top-tier control and quality-sensitive outputs.
Riverflow V2.5 Fast
Sourceful
Riverflow V2.5 Fast is the speed-optimized variant of Sourceful's Riverflow 2.5 lineup, best for production deployments and latency-critical workflows.
More Muse Spark 1.2 comparisons
Gemini 3.6 Flash
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed.
MiMo-V2.5
Xiaomi
MiMo-V2.5 is a native omnimodal model by Xiaomi.
Nova 2 Lite
Amazon
Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text.
Qwen3.8 Max
Qwen
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview.