Fusion Max 2.0: Multi-Model Fusion Beats Single LLMs at 1/6th Cost

Singapore's FUMO Lab releases Fusion Max 2.0, a fusion model that routes tasks across specialized models to achieve top scores on Terminal Bench (58.73%), GDP.pdf (37%), and OfficeQA Pro (70.7%) while costing 83% less than Fable 5.1, generating playable games for under $2, and solving complex 58-page manual tasks, now available via self-service platform with $5 free credit.

DataFunTalk
DataFunTalk
DataFunTalk
Fusion Max 2.0: Multi-Model Fusion Beats Single LLMs at 1/6th Cost

Benchmark Performance and Cost Efficiency

Fusion Max 2.0 achieves the highest scores in three complex benchmarks: Terminal Bench 4.0 (58.73%), GDP.pdf (37.0%), and OfficeQA Pro (70.7%). In the GPQA Diamond test, total cost is $4.5 versus $14 for GPT-6 Astra and $27 for Fable 5.1, an 83.3% reduction. Terminal Bench v2.1 shows approximately 89.7% cost reduction versus Fable 5.1.

Benchmark comparison chart
Benchmark comparison chart

Game Generation from Single Prompts

With a single prompt "Make a roguelike game," Fusion Max 2.0 generated "Ember Corridor," a browser game with 8 levels, boss battles, 3 playable characters, random upgrades, and permanent progression. A second prompt "Make a plane shooter" produced "Star Strike," a playable bullet-hell shooter with weapon upgrades and bosses. Both games cost under $2 to generate.

Complex Professional Task Handling

In a 58-page equipment manual requiring cross-page synthesis of diagrams, parts lists, and codes, Fusion Max 2.0 completed all 4 verification tasks while GPT-6 Astra and Fable 5.1 completed only 3. Per-task cost was $0.3495. FUMO also reports enterprise deployments in fintech loan risk analysis and AI security vulnerability detection.

Manual task verification results
Manual task verification results

Technical Architecture: Intelligent Routing and Multi-Model Collaboration

Fusion Max 2.0 uses a proprietary routing decision model to dynamically select the best model for each task stage. For complex problems, multiple models analyze in parallel and collaborate on a unified answer. This approach overcomes single-model limitations and allocates compute more efficiently. FUMO also announced up to 40% price cuts across Fusion Max and Fusion Code series.

Self-Service Platform Launch

The FUMO self-service platform now offers immediate access to Fusion Max 2.0. Users can register to receive $5 free credit, test models via a playground interface, and create API keys for integration into applications and workflows.

Original Source

Signed-in readers can open the original source through BestHub's protected redirect.

Sign in to view source
Republication Notice

This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactadmin@besthub.devand we will review it promptly.

Cost OptimizationAI benchmarksintelligent routingmulti-model fusioncomplex reasoningFUMO LabFusion Max 2.0game generation
DataFunTalk
Written by

DataFunTalk

Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.

0 followers
Reader feedback

How this landed with the community

Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.