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Fireworks AI vs Novita AI

A comparison of Fireworks AI and Novita AI built from values read directly from each provider's own documentation, with the source recorded against every figure.

Updated 10 criteria comparedSources last checked

The short answer

Pick Fireworks AI if
Running open-weight models without operating GPUs — the same DeepSeek and Qwen checkpoints the labs publish, served per token, with a path to dedicated hardware if throughput demands it.
Pick Novita AI if
Breadth — 200+ models under one API with a cache-read rate published next to most of them, and an H100 SXM at $3.39 an hour if the same vendor should run the dedicated side too.

7 sourced criteria separate them:

Pricing model
Fireworks AI: Three products on one bill. Serverless inference is per token, per model. Fine-tuning is per million TRAINING tokens by parameter band — $0.50 for models up to 16B, $10.00 above 300B. Dedicated GPUs are hourly: $7.00 for an H100 or H200, $10.00 for a B200.
Novita AI: Per-token serverless inference with a cache-read rate published beside most models, and GPU instances offered at both on-demand and spot rates — the spot column is roughly half. Two models, Ling 3.0 Flash Fin and Sante, are listed at no charge on both input and output.
Input price, top model
Fireworks AI: $3.00 per million input tokens for Kimi K3, the most expensive model in its serverless catalogue. Fireworks hosts other labs' open-weight models rather than its own, so "flagship" here means the top of what it serves.
Novita AI: $2.00 per million input tokens for Qwen3.8 Max, the most expensive model in its catalogue, with cache reads at $0.25 and output at $6.00.
Output price, top model
Fireworks AI: $15.00 per million output tokens for Kimi K3.
Novita AI: $6.00 per million output tokens for Qwen3.8 Max.
Input price, cheapest model
Fireworks AI: $0.15 per million input tokens for GLM 5.3 Flash, with output at $0.50. DeepSeek-V4-Flash is $0.22 in and $0.66 out — the same model DeepSeek itself sells at $0.44 peak.
Novita AI: $0.075 per million input tokens for GLM 5.3 Flash at short context, rising to $0.15 above the threshold, with cache reads at $0.015 and output at $0.25. Fireworks serves the same model at $0.15.
Context window
Fireworks AI: 1,048,576 tokens on Kimi K3, GLM 5.3 and both DeepSeek V4 variants; 262,144 on Qwen3.8 and 131,072 on Muse Glimmer 30B. The window is the model's, not Fireworks'.
Novita AI: 1M tokens on the DeepSeek V4 line and GLM 5.3, published as "1M" rather than an exact figure — so it is recorded at 1,000,000 and may in practice be the 1,048,576 other providers state. Qwen3.8 is listed at 977K.
H100 SXM, per GPU-hour
Fireworks AI: $7.00 per hour for an H100 80GB on demand, or $8.00 on the shorter commitment shown beside it. The same rate applies to an H200 141GB.
Novita AI: $3.39 per GPU-hour for an on-demand H100 SXM 80GB, or $1.70 spot. The page names the card the site's GPU comparison is fixed on, so no substitution is involved.
Largest GPU offered
Fireworks AI: 180GB per GPU on a B200, at $10.00 an hour on demand.
Novita AI: 80GB per GPU on an H100 SXM, the largest card it lists; below it are an L40S 48GB, RTX 5090 32GB and RTX 4090 24GB.
Visit Fireworks AI documentationVisit Novita AI documentation

No affiliate links, sponsored placements or paid rankings appear on this site. Ordering follows the sourced data and the stated criteria.

01.

At a glance.

CriterionFireworks AINovita AI
Pricing
Pricing modelThree products on one bill. Serverless inference is per token, per model. Fine-tuning is per million TRAINING tokens by parameter band — $0.50 for models up to 16B, $10.00 above 300B. Dedicated GPUs are hourly: $7.00 for an H100 or H200, $10.00 for a B200.Per-token serverless inference with a cache-read rate published beside most models, and GPU instances offered at both on-demand and spot rates — the spot column is roughly half. Two models, Ling 3.0 Flash Fin and Sante, are listed at no charge on both input and output.
Inference
Input price, top model
$3.00 per million input tokens for Kimi K3, the most expensive model in its serverless catalogue. Fireworks hosts other labs' open-weight models rather than its own, so "flagship" here means the top of what it serves.
$2.00 per million input tokens for Qwen3.8 Max, the most expensive model in its catalogue, with cache reads at $0.25 and output at $6.00.
Output price, top model
$15.00 per million output tokens for Kimi K3.
$6.00 per million output tokens for Qwen3.8 Max.
Input price, cheapest model
$0.15 per million input tokens for GLM 5.3 Flash, with output at $0.50. DeepSeek-V4-Flash is $0.22 in and $0.66 out — the same model DeepSeek itself sells at $0.44 peak.
$0.075 per million input tokens for GLM 5.3 Flash at short context, rising to $0.15 above the threshold, with cache reads at $0.015 and output at $0.25. Fireworks serves the same model at $0.15.
Context window
1,048,576 tokens on Kimi K3, GLM 5.3 and both DeepSeek V4 variants; 262,144 on Qwen3.8 and 131,072 on Muse Glimmer 30B. The window is the model's, not Fireworks'.
1M tokens on the DeepSeek V4 line and GLM 5.3, published as "1M" rather than an exact figure — so it is recorded at 1,000,000 and may in practice be the 1,048,576 other providers state. Qwen3.8 is listed at 977K.
Prompt cachingSupportedSupported
GPU
H100 SXM, per GPU-hour
$7.00 per hour for an H100 80GB on demand, or $8.00 on the shorter commitment shown beside it. The same rate applies to an H200 141GB.
$3.39 per GPU-hour for an on-demand H100 SXM 80GB, or $1.70 spot. The page names the card the site's GPU comparison is fixed on, so no substitution is involved.
Largest GPU offered
180GB per GPU on a B200, at $10.00 an hour on demand.
80GB per GPU on an H100 SXM, the largest card it lists; below it are an L40S 48GB, RTX 5090 32GB and RTX 4090 24GB.

Only criteria both providers publish appear here; a tinted cell marks a real difference. Criteria only one of them documents are listed below, and an absence there means we found no source — not that the feature is missing. How we source this.

The small bar above a value is inetGeek's own lean toward that side — computed from the same facts shown, never a number the provider published. See the picker below "The short answer" to weigh only the criteria you care about.

02.

Where they differ.

Pricing model

Fireworks AI
Three products on one bill. Serverless inference is per token, per model. Fine-tuning is per million TRAINING tokens by parameter band — $0.50 for models up to 16B, $10.00 above 300B. Dedicated GPUs are hourly: $7.00 for an H100 or H200, $10.00 for a B200.
Novita AI
Per-token serverless inference with a cache-read rate published beside most models, and GPU instances offered at both on-demand and spot rates — the spot column is roughly half. Two models, Ling 3.0 Flash Fin and Sante, are listed at no charge on both input and output.
Sources (2) →
  • Pricing — Fireworks AI ↗

    “MODELS UP TO 16B PARAMETERS $0.50 $1.00 $1.00 $2.00 [...] MODELS >300B (E.G. DEEPSEEK V3, KIMI K2) $10.00 $20.00 $20.00 $40.00 [...] H100 80 GB GPU $7.00 $8.00 H200 141 GB GPU $7.00 $8.00 B200 180 GB GPU $10.00 $13.00”

    Read 2026-09-06 · official pricing

  • Pricing — Novita AI ↗

    “Ling 3.0 Flash Fin 256K Free Free [...] Ling 3.0 Flash Sante 256K Free Free [...] On-Demand SPOT”

    Read 2026-09-07 · official pricing

Input price, top model

Fireworks AI
$3.00 per million input tokens for Kimi K3, the most expensive model in its serverless catalogue. Fireworks hosts other labs' open-weight models rather than its own, so "flagship" here means the top of what it serves.
Novita AI
$2.00 per million input tokens for Qwen3.8 Max, the most expensive model in its catalogue, with cache reads at $0.25 and output at $6.00.
Sources (2) →

Output price, top model

Fireworks AI
$15.00 per million output tokens for Kimi K3.
Novita AI
$6.00 per million output tokens for Qwen3.8 Max.
Sources (2) →

Input price, cheapest model

Fireworks AI
$0.15 per million input tokens for GLM 5.3 Flash, with output at $0.50. DeepSeek-V4-Flash is $0.22 in and $0.66 out — the same model DeepSeek itself sells at $0.44 peak.
Novita AI
$0.075 per million input tokens for GLM 5.3 Flash at short context, rising to $0.15 above the threshold, with cache reads at $0.015 and output at $0.25. Fireworks serves the same model at $0.15.
Sources (2) →
  • Models — Fireworks AI ↗

    “GLM 5.3 Flash $0.15/M Input • $0.5/M Output • 1048576 Context [...] DeepSeek-V4-Flash-0731 $0.22/M Input • $0.66/M Output • 1048576 Context”

    Read 2026-09-06 · official pricing

  • Pricing — Novita AI ↗

    “GLM 5.3 Flash 1M $0.075 /Mt · Cache Read $0.015 /Mt $0.15 /Mt · Cache Read $0.03 /Mt $0.25 /Mt $0.5 /Mt”

    Read 2026-09-07 · official pricing

Context window

Fireworks AI

1,048,576 tokens on Kimi K3, GLM 5.3 and both DeepSeek V4 variants; 262,144 on Qwen3.8 and 131,072 on Muse Glimmer 30B. The window is the model's, not Fireworks'.

Novita AI

1M tokens on the DeepSeek V4 line and GLM 5.3, published as "1M" rather than an exact figure — so it is recorded at 1,000,000 and may in practice be the 1,048,576 other providers state. Qwen3.8 is listed at 977K.

Sources (2) →
  • Models — Fireworks AI ↗

    “Kimi K3 $3/M Input • $15/M Output • 1048576 Context [...] Qwen3.8-2.4T-A95B $2/M Input • $6/M Output • 262144 Context [...] Muse Glimmer 30B $0.35/M Input • $1.5/M Output • 131072 Context”

    Read 2026-09-06 · official pricing

  • Pricing — Novita AI ↗

    “DeepSeek V4 Pro 0813 1M [...] GLM 5.3 1M [...] Qwen3.8 Max 977K”

    Read 2026-09-07 · official pricing

H100 SXM, per GPU-hour

Fireworks AI
$7.00 per hour for an H100 80GB on demand, or $8.00 on the shorter commitment shown beside it. The same rate applies to an H200 141GB.
Novita AI
$3.39 per GPU-hour for an on-demand H100 SXM 80GB, or $1.70 spot. The page names the card the site's GPU comparison is fixed on, so no substitution is involved.
Sources (2) →

Largest GPU offered

Fireworks AI

180GB per GPU on a B200, at $10.00 an hour on demand.

Novita AI

80GB per GPU on an H100 SXM, the largest card it lists; below it are an L40S 48GB, RTX 5090 32GB and RTX 4090 24GB.

Sources (2) →

When these numbers change, hear about it. Sources are re-checked monthly; a repricing goes out as a short note.

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03.

Which should you choose?

Choose Fireworks AI if…

Running open-weight models without operating GPUs — the same DeepSeek and Qwen checkpoints the labs publish, served per token, with a path to dedicated hardware if throughput demands it.

Editorial · Palash Bagchi · approved

Choose Novita AI if…

Breadth — 200+ models under one API with a cache-read rate published next to most of them, and an H100 SXM at $3.39 an hour if the same vendor should run the dedicated side too.

Editorial · Palash Bagchi · approved

Consider something else if…

  • Fireworks AI: You want a frontier proprietary model: Fireworks serves other people's open weights, so the ceiling is whatever the open ecosystem has released.
  • Novita AI: It is rarely the cheapest for any given model: DeepInfra serves DeepSeek-V4-Flash-0731 at $0.06 against Novita's $0.44, and its H100 is $2.20 against Novita's $3.39 on demand.
04.

Documented by only one.

These criteria are published by one provider and not the other. An absence here means we have not found a source, not that the feature is missing.

Free tierFireworks AI: Yes
Max output tokensFireworks AI: No separate output cap. max_tokens is bounded by the model's context length — prompt plus completion must fit inside it — and what happens on overflow is set by context_length_exceeded_behavior rather than a fixed ceiling.
05.

Questions this comparison answers.

Should I choose Fireworks AI or Novita AI?

Pick Fireworks AI if Running open-weight models without operating GPUs — the same DeepSeek and Qwen checkpoints the labs publish, served per token, with a path to dedicated hardware if throughput demands it.

Pick Novita AI if Breadth — 200+ models under one API with a cache-read rate published next to most of them, and an H100 SXM at $3.39 an hour if the same vendor should run the dedicated side too.

Provider pages

Fireworks AIServerless inference for open-weight models from other labs, priced per token, with fine-tuning and dedicated GPUs billed separately.Novita AIServerless inference across 200+ open models with per-model cache-read rates, plus on-demand and spot GPU instances.

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Every page here is sourced and dated.