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IT AI Index
Index › Products › Fireworks AI · October 2026 Edition
1 category · Named, not ranked

Fireworks AI

3Judge labels
1First choices
0Negative labels
2 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Fireworks AI was named 1 time in LLM gateways, where LiteLLM led with 31%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business37 of 53
0%1 label
under the label threshold
Mid-market27 of 69
0%1 label
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In llm gateways · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Fireworks AI for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
LLM gateways and observabilityData platform0%27 of 690%1under 10 labels · led by LiteLLM at 31%

Movement

This is the first edition on this tier, so no move can be computed for Fireworks AI yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Fireworks AI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained1 label1
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative3 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Fireworks specializes in optimized inference with strong function-calling” Muse Glimmer 30B · LLM gateways · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Fireworks AI, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Fireworks AI was named but was not.
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ProductSame answerTook the first choice insteadHead to head
OpenRouter2 of 32Not among the top eight
LiteLLM2 of 31Not among the top eight
Bifrost2 of 30Not among the top eight
Cloudflare AI Gateway2 of 30Not among the top eight
Helicone2 of 30Not among the top eight
Kong AI Gateway2 of 30Not among the top eight
Nexos.ai2 of 30Not among the top eight
Portkey2 of 30Not among the top eight
Together AI2 of 30Not among the top eight
TrueFoundry2 of 30Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Fireworks AI. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 3 of the 3 answers that named Fireworks AI and are not a share of its labels.

Domains cited

agenta.ai2
cloudzero.com2
digitalocean.com2
dupple.com2
fireworks.aiYour site2
requesty.ai2
respan.ai2
aimultiple.com1
anaconda.com1
bluehost.com1

Fifteen of the seventeen domain citations in answers naming Fireworks AI came from somebody else's page.

Pages cited

agenta.ai/blog/top-llm-gateways2
cloudzero.com/blog/llm-gateways2
dupple.com/learn/best-llm-gateways2
fireworks.ai/blog/best-llm-api-providers2
requesty.ai/blog/top-llm-gateways-20252
respan.ai/articles/best-llm-gateways2
aimultiple.com/llm-orchestration1
anaconda.com/guides/machine-learning-software1

Pages are listed as the models cited them.

What it publishes

ShowHide
Addresses on fireworks.ai
1,007
subdomains included
Content
230
counted in the table below
Documentation
358
Product · Integration
5 · 4
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog183262026-09-30
Report or ebook24undated
Webinar or virtual event902024-06-03
Conference or event6undated
News or press5undated
Glossary or explainer2undated
Comparison102026-03-06

Most recent

How it is countedHide how it is counted

Every page fireworks.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.

Follow Fireworks AI

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Fireworks AI is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Fireworks’ state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence.
fireworks.ai
For
developers
fireworks.ai
Price stated
Serverless Inference: per token pricing; Embeddings: $0.008, $0.016, $0.1 per 1M input tokens; Managed Training: $0.50, $1.00, $2.00, $3.00, $6.00, $10.00, $12.00, $20.00, $24.00, $40.00 per 1M training tokens; Serverless Training API: $2.96, $0.593, $7.41, $8.89, $4.86, $0.972, $12.15, $14.58, $1.86, $0.372, $5.595, $4.103, $10.87, $2.17, $27.11, $32.55, $1.74, $0.35, $4.33, $5.20, $1.96, $0.39, $4.88, $5.86 per 1M; On demand deployments: $0.134, $0.217, $0.250, $0.334 per minute; $8.00, $13.00, $15.00, $20.00 per hour fireworks.ai/pricing
Certifications
SOC 2 Type 2HIPAAGDPRISO 27001:2022ISO 27701ISO/IEC 42001:2023ISO 27001 CertificateISO 27701 Certificate
Hosting
United StatesJapanSingaporeAustraliaGermanyUnited KingdomSwedenNetherlands
Customers named
MotifGumloopCursorVercelNotionGensparkQuoraSourcegraph
Not stated on the pages read
Starting price, free plan or trial, integrations

What Fireworks AI's own pages state, read October 6, 2026: fireworks.ai, fireworks.ai/pricing, trust.fireworks.ai, fireworks.ai/platform/developer-toolkit, fireworks.ai/customers. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Fireworks AI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Fireworks AI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Fireworks AI by email, built from the raw record of the edition. It shows:

  • where Fireworks AI is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Fireworks AI, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at fireworks.ai is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.