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Fireworks AI model

DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. It has the same model structure as DeepSeek-V4-Flash-DSpark, i.e. it comes with a speculative decoding module attached.

Provider
Fireworks AI
Availability
Available
Model ID
deepseek-v4-flash-0731
Snapshot
2026-10-07
Evaluation Verdict

DeepSeek V4 Flash delivers high-throughput next-generation open MoE inference (54.8% SWE-bench Verified, 85 TPS, $0.30/M input), providing rapid autonomous software repair with low latency.

DeepSeek-V4-Flash-0731 Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified
SWE-bench Verified
54.8%
MoE High SpeedDeepSeek Frontier Card ↗
LiveCodeBench
50.4%
StandardLiveCodeBench ↗
LMSYS Coding Elo
1350Elo
Coding ArenaLMSYS Arena ↗
AIME 2024 / 2025
72.5%
StandardDeepSeek Frontier Card ↗
Pricing ($ / 1M tokens)
$0.3/ $0.9
$0.05 cached readStandard API Pricing

What This Means in Real Software Development

  • Next-generation DeepSeek MoE architecture with advanced attention routing.
  • Scores 54.8% on SWE-bench Verified and 72.5% on AIME 2024.
  • Operates at ~85 TPS for interactive CLI code generation and testing.
  • High cost efficiency ($0.30/M input, $0.90/M output) on hosted inference platforms.

Swarm Multi-Agent Topology

Tier 3: Next-Gen Open SubagentRole: Coder Subagent

Best Paired With: Claude 3.7 Sonnet as Lead Planner

High throughput and solid coding logic make it ideal for parallel worktree tasks.

Git Worktree Isolation Advantage:

Executes multi-file refactors across isolated Git worktrees without lock contention.

What Developers & Practitioners Are Saying

Real-world field observations, production strengths, and developer consensus

Field Consensus

"High-speed MoE generation checkpoint from DeepSeek, optimized for lightweight code review and linting."

Verified Real-World Strengths

  • Ultra-low latency with ~85 TPS throughput
  • Extremely low token cost
  • Good syntax error detection

Production Caveats & Gaps

  • Not designed for complex multi-file architectural changes
Benchmark Reality Check

What the benchmark tests: Measures rapid code comprehension and single-file bug identification.

Production caveat: Use strictly for subagent triage and search mapping.

Primary Sources & Methodology Citations

DeepSeek-V4-Flash-0731 model overview

DeepSeek-V4-Flash-0731 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
off · high · xhigh
Availability status
Available
Catalog ID
fireworks/deepseek-v4-flash-0731
  • Text input
  • Text output
  • Reasoning
  • Tools

Run DeepSeek-V4-Flash-0731 in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →
bash — swarm run
$swarm ctl model set --provider fireworks --model fireworks/deepseek-v4-flash-0731

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign DeepSeek-V4-Flash-0731 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.
System Agent Roles →Why Swarm Architecture →
← All Fireworks AI models

Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.