Fireworks AI model
DeepSeek V4.1 Flash
DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters that natively processes images and text at up to 1M token context. Its Causal Encoder-Decoder architecture activates only 8B parameters during prefill and 16B during decode, cutting the KV cache footprint to roughly a quarter of DeepSeek-V4-Flash for cost-efficient agentic workloads.
- Provider
- Fireworks AI
- Availability
- Available
- Model ID
- deepseek-v4p1-flash
- Snapshot
- 2026-10-07
DeepSeek V4.1 Flash Benchmarks & Agentic Accuracy
Verified primary research & developer preference metrics
What This Means in Real Software Development
- 56.2% SWE-bench Verified score demonstrates sharp improvements in multi-file bug diagnosis.
- Fast 90 TPS output speed keeps developer turnaround times low.
- 74.5% on AIME confirms strong deductive logic for complex algorithm problems.
- Available on Fireworks AI and OpenRouter with low latency.
Swarm Multi-Agent Topology
Best Paired With: Claude 3.7 Sonnet as Lead Planner
High throughput and low pricing make it optimal for Stage 2 implementation workers.
Dispatched into Swarm worktrees to execute and verify isolated test suites.
What Developers & Practitioners Are Saying
Real-world field observations, production strengths, and developer consensus
"Refined flash MoE architecture offering improved instruction following for high-throughput pipelines."
Verified Real-World Strengths
- Fast ~140 TPS execution
- Strong JSON tool-calling syntax fidelity
- Unbeatable economics for continuous integration agents
Production Caveats & Gaps
- Limited deep mathematical reasoning capabilities
Primary Sources & Methodology Citations
- DeepSeek V4.1 Flash Technical Release — DeepSeek AI (September 2025)
Head-to-Head Frontier Comparisons: DeepSeek V4.1 Flash vs Rivals
Standardized, side-by-side benchmark & economics comparison against peer models
| Model | Role / Tier | SWE-bench | LiveCodeBench | LMSYS Elo | AIME | Input / Output |
|---|---|---|---|---|---|---|
DeepSeek V4.1 FlashFireworks AICurrent | Tier 3: Refined Open Subagent | 56.2% | 52% | 1360 | 74.5% | $0.3 / $0.9 |
Gemini 3.8 FlashGoogle Compare DeepSeek V4.1 Flash vs Gemini 3.8 Flash → | Tier 3: High-Throughput Subagent Engine | 68.4% | 53.8% | 1380 | 84% | $0.15 / $0.6 |
Celeris-1Independent Compare DeepSeek V4.1 Flash vs Celeris-1 → | Tier 3: World-Record Throughput Reflex | 50% | 43% | — | — | $0.1 / $0.4 |
Muse GlimmerMeta Compare DeepSeek V4.1 Flash vs Muse Glimmer → | Tier 3: Rapid Transpiler Subagent | 48% | 41.5% | 1270 | — | $0.08 / $0.32 |
DeepSeek R1DeepSeek Compare DeepSeek V4.1 Flash vs DeepSeek R1 → | Tier 2: Deep Algorithmic Specialist | 49.2% | 49.8% | 1360 | 79.8% | $0.55 / $2.19 |
DeepSeek V4.1 Flash model overview
DeepSeek V4.1 Flash is listed in the public Swarm catalog through Fireworks AI. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.
- Provider
- Fireworks AI
- Family
- Deepseek
- Context window
- 1M tokens
- Thinking support
- high · max
- Availability status
- Available
- Catalog ID
- fireworks/deepseek-v4p1-flash
Run DeepSeek V4.1 Flash in Swarm
Verified CLI workflow & multi-agent architecture
swarm ctl model set --provider fireworks --model fireworks/deepseek-v4p1-flash# Or switch interactively inside the terminal TUI:
/modelsSubagent Role Matrix
Assign DeepSeek V4.1 Flash to specialized system roles in ~/.swarm/config.json:
- Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
- Coder Subagent: Generates code and unit tests inside private Git worktrees.
- Finder Subagent: Performs read-only code search, symbol discovery, and mapping.
Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.