Fireworks: Models Intelligence, Performance & Price
This analysis is intended to support you in choosing the best model provided by Fireworks for your use-case.
Most Intelligent
UpdatedIntelligence index
Total 7 models
Fastest
Output speed
Total 7 models
Lowest Price
Blended price (per 1M tokens)
Total 7 models
Fireworks offers 7 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across models.
- For intelligence, the top models on Fireworks are Kimi K3 (max) (44), Kimi K3 (max) (FAST) (44), and GLM-5.3-Flash (42).
- For output speed, the fastest models are Nemotron 3.5 Lightning (BF16) (343 t/s), GLM-5.3-Flash (185 t/s), and MiniMax-M3 (157 t/s). Speed varies significantly across models, with a 207% difference between the fastest and slowest.
- For latency, Nemotron 3.5 Lightning (BF16) (6.28s), GLM-5.3-Flash (12.13s), and MiniMax-M3 (13.67s) offer the lowest time to first answer token.
- For pricing, Nemotron 3.5 Lightning (BF16) ($0.04), GLM-5.3-Flash ($0.10), and MiniMax-M3 ($0.22) offer the lowest blended prices per 1M tokens. Prices vary up to 31.8x across models.
- For context window size, Kimi K3 (max) (1M), Kimi K3 (max) (FAST) (1M), and GLM-5.3-Flash (1M) support the largest context windows on Fireworks.
- Nemotron 3.5 Lightning (BF16) offers both the fastest output and best pricing, making it attractive for throughput-sensitive and cost-conscious applications. Kimi K3 (max) leads in intelligence for tasks that require the highest quality.
Intelligence Evaluations
Artificial Analysis Intelligence Index
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Agentic real-world work tasks, (Elo-500)/2000
Agentic SaaS workflows
Agentic coding & terminal use
Coding
Reasoning & knowledge
Professional document reasoning, All-pass
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Legal agentic work, criterion pass rate
Agentic business operations
Agentic scientific research workflows in a terminal
Quantitative analysis on spreadsheets & documents
Kubernetes incident root-cause analysis
Visual reasoning
Medical long context reasoning
Intelligence Index vs. Price
Context Window
Context Window
Pricing
Intelligence Index vs. Price
Performance Summary
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time vs. Price
Further Analysis | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
GLM-5.3 (max) | 1.05M | Open | 45 | $2.15 | 307 | 1.83 | 9.98 | 6.52 | |||
Kimi K3 (max) | 1.05M | Open | 44 | $1.91 | 113 | 1.11 | 23.28 | 17.74 | |||
Kimi K3 (max) (FAST) | 1.05M | Open | 44 | $2.72 | 112 | 1.05 | 23.36 | 17.84 | |||
GLM-5.3-Flash | 1.05M | Open | 42 | $0.37 | 177 | 1.35 | 15.49 | 11.31 | |||
Qwen3.8 2.4T A95B | 262k | Open | 40 | $1.87 | 96 | 1.01 | 27.11 | 20.88 | |||
DeepSeek V4.1 Flash (max) | 1M | Open | 39 | $0.19 | 344 | 0.83 | 8.09 | 5.81 | |||
DeepSeek V4 Pro 0813 (max) | 1M | Open | 36 | $0.60 | -- | -- | -- | -- | |||
DeepSeek V4 Flash Vision (max) | 1M | Proprietary | 35 | $0.12 | -- | -- | -- | -- | |||
DeepSeek V4 Flash 0731 (max) | 1.05M | Open | 34 | $0.09 | -- | -- | -- | -- | |||
GLM-5.2 (max) | 1M | Open | 34 | $2.94 | -- | -- | -- | -- | |||
MiniMax-M3 | 524k | Open | 29 | $0.50 | 151 | 1.00 | 17.58 | 13.26 | |||
GLM-5 | 203k | Open | 28* | -- | -- | -- | -- | -- | |||
Kimi K2.6 | 262k | Open | 27 | $0.52 | -- | -- | -- | -- | |||
Kimi K2.7 Code | 262k | Open | 26 | $0.52 | -- | -- | -- | -- | |||
Kimi K2.6 (non-reasoning) | 262k | Open | 24* | -- | -- | -- | -- | -- | |||
Nemotron 3 Ultra | 262k | Open | 23 | $0.32 | 150 | 0.69 | 19.23 | 15.20 | |||
GLM-5 (non-reasoning) | 203k | Open | 22* | -- | -- | -- | -- | -- | |||
DeepSeek V3.2 | 164k | Open | 21* | -- | -- | -- | -- | -- | |||
Muse Glimmer (high) | 131k | Open | 17 | $0.06 | -- | -- | -- | -- | |||
DeepSeek V3.2 (non-reasoning) | 164k | Open | 16* | -- | -- | -- | -- | -- | |||
DeepSeek V3.1 (non-reasoning) | 164k | Open | 14* | -- | -- | -- | -- | -- | |||
Nemotron 3.5 Lightning (BF16) | 262k | Open | 13 | $0.02 | 279 | 0.50 | 9.47 | 7.17 | |||
Qwen3 VL 235B A22B | 262k | Open | 10* | -- | -- | -- | -- | -- | |||
Qwen3 VL 30B A3B | 262k | Open | 9* | -- | -- | -- | -- | -- | |||
Qwen3 VL 30B A3B | 262k | Open | 8* | -- | -- | -- | -- | -- | |||
Llama 3.3 70B | 131k | Open | 8* | -- | -- | -- | -- | -- | |||
Qwen3 30B | 262k | Open | 8* | -- | -- | -- | -- | -- | |||
Qwen3 8B (non-reasoning) | 41k | Open | 6* | -- | -- | -- | -- | -- | |||
Key definitions
Frequently Asked Questions
Common questions about Fireworks
Fireworks offers 7 models that we track: Kimi K3 (max), Kimi K3 (max) (FAST), GLM-5.3-Flash, Qwen3.8 2.4T A95B, MiniMax-M3, Nemotron 3 Ultra, and Nemotron 3.5 Lightning (BF16).
The most intelligent model available on Fireworks is Kimi K3 (max) with an Intelligence Index score of 44.
The fastest model on Fireworks by output speed is Nemotron 3.5 Lightning (BF16) at 343.3 tokens per second.
The model with the lowest time to first answer token on Fireworks is Nemotron 3.5 Lightning (BF16) at 6.28s. Lower latency means faster initial response time.
The most affordable model on Fireworks by blended price is Nemotron 3.5 Lightning (BF16) at $0.04 per 1M tokens (7:2:1 cache hit/input/output ratio).
Prices on Fireworks vary up to 94x across models, from $0.04 per 1M tokens for Nemotron 3.5 Lightning (BF16) to $3.46 per 1M tokens for Kimi K3 (max) (FAST).
Yes, Fireworks offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
Yes, all 7 models on Fireworks support JSON mode for structured output.
Yes, all 7 models on Fireworks support function calling (tool use).
Yes, Fireworks offers 7 reasoning models: Kimi K3 (max), Kimi K3 (max) (FAST), GLM-5.3-Flash, Qwen3.8 2.4T A95B, MiniMax-M3, Nemotron 3 Ultra, and Nemotron 3.5 Lightning (BF16). Reasoning models use extended thinking to work through complex problems before providing an answer.
Yes, all 7 models on Fireworks are open weight models.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
When choosing a model on Fireworks, consider: intelligence (for quality-sensitive tasks), output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and features like context window size, JSON mode, or function calling support.