SWE-2 vs wan 2.6: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of SWE-2 and wan 2.6 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

SWE-2

Cognition

Paid

Cognition's coding model that scores 50.0% on FrontierCode 1.1 Main at 64% lower cost than comparable frontier models.

Pareto-Frontier Cost Efficiency: Matches GPT-5.6 Sol and Fable 5/5.1 on coding benchmarks at a fraction of their price and comes within a few points of GPT-6 Astra at roughly a quarter of the cost.
Single-Run Multi-Effort RL: A reinforcement learning algorithm trains all reasoning-effort levels in one run, applying a per-level linear cost penalty derived from the base model's local frontier slope.
Focused Codebase Exploration: Stronger engineering judgment lets the model decide which parts of a repository matter, cutting mean steps per run from 127 to 53 at medium effort.
Selectable Effort Levels: Ships medium, high and max reasoning settings so teams can trade additional steps and cost for accuracy on harder tasks.
End-to-End Test Writing: Produces tests that validate an implementation end to end, catching regressions and edge cases more reliably than previous SWE models.
Resourceful Task Recovery: When an expected route is blocked — an unavailable MCP integration, for example — it finds an alternative path to the same answer within the user's stated boundaries.
Efficient Training and Serving Stack: NVFP4/FP8 kernels, quantization-aware training and an online draft model cut memory use and train-inference mismatch despite nearly 3x the base parameters of SWE-1.7.
Hardened Verifier Flywheel: Triples the number of RL environments, adds instruction-following overlays, and uses earlier SWE-2 checkpoints to iteratively strengthen verifiers.

Agentic Software Engineering: Powering Devin sessions that plan, edit, build and test changes across a real repository with minimal supervision.
Cost-Sensitive Coding at Scale: Teams running large volumes of automated coding tasks pick a model that holds frontier-adjacent accuracy at a materially lower per-task cost.
Terminal and Tooling Workflows: Strong Terminal-Bench results suit tasks driven through shell commands, build systems and command-line tooling.
Regression Test Generation: Generating end-to-end tests for existing implementations to catch edge cases before a release.
Effort-Tiered Task Routing: Routing simple tickets to medium effort and hard migrations to high or max effort within the same model deployment.
Benchmark and Model Evaluation: Engineering leaders compare coding model options on published FrontierCode, DeepSWE and Terminal-Bench numbers alongside cost.

Unknown Developer

Freemium

Generative video model for multi-shot storytelling, reference-driven outputs, and cinematic clips up to 15 seconds.

Multi-Shot Narrative Support: Generates sequences composed of multiple shots to form a coherent short narrative rather than isolated single-shot clips.
Reference Video Generation: Accepts or uses reference videos to guide style, motion, or framing in generated outputs to better match user intent.
Up-to-15s Clip Output: Produces cinematic video clips with a maximum duration of 15 seconds, optimized for short-form storytelling and prototyping.
Cinematic Styling: Prioritizes cinematic qualities (composition, pacing, and visual tone) in outputs to create film-like short clips suited for creative projects.
Story Continuity Focus: Maintains narrative and visual continuity across successive shots to support multi-shot storytelling workflows.
Multi-shot narrative support for composing sequences of shots into a coherent story
Reference-video-guided generation to match style, motion, or composition from example footage
Generates cinematic-quality video clips up to 15 seconds in length
Optimized for short-form storytelling and multi-shot continuity
Supports creation of prototype scenes and short cinematic sequences

Short Film Prototyping: Rapidly generate multi-shot cinematic clips to prototype scenes and pacing before full production.
Reference Video Creation: Produce reference sequences that demonstrate desired framing, motion, or style for collaborators or VFX teams.
Social and Short-Form Content: Create polished 10–15 second cinematic clips for use on social platforms and promotional materials.
Creative Storyboarding: Generate visual storyboard assets as multi-shot sequences to iterate on narrative structure and shot transitions.
Advertising and Teasers: Produce short cinematic teasers or product-focused clips that require cohesive multi-shot storytelling.
Creating short cinematic sequences for social media or portfolios (up to 15s)
Prototyping multi-shot scenes for previsualization and storyboarding
Generating reference-driven clips that mimic style and motion of source footage
Producing short-form marketing or promotional video content
Rapidly iterating visual concepts for filmmakers and content creators