GPT Image 2.5 Flare
azure/gpt-image-2-5-flare제공: azure · 패밀리: gpt-image · 출시 2026-09-08
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding1
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents1
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output0
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency29
- Headline price (log-scaled)24/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Vision61
- Accepts image input50/50
- Context window (10K → 1M)0/30
- Has published price10/10
- Provider availability1/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K0/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $40.00 $0.04 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $80.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $25.00 $0.03 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $70.00 $0.07 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $78.00 $0.08 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: azure · gpt-image-2.5-flare
1곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Azure azure | gpt-image-2.5-flare | $5.00 | $30.00 | Unknown | 2026-09-08 |
Frequently asked questions
How much does GPT Image 2.5 Flare cost?
GPT Image 2.5 Flare costs $5.00 per 1M input tokens and $30.00 per 1M output tokens, sourced from azure. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
Does GPT Image 2.5 Flare support tool calling?
No. GPT Image 2.5 Flare does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does GPT Image 2.5 Flare support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GPT Image 2.5 Flare in our data source. Verify with azure's official documentation before relying on it in production.
Can GPT Image 2.5 Flare accept image input?
Yes. GPT Image 2.5 Flare accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check azure's docs for the exact rule.
Is GPT Image 2.5 Flare open-weight?
No. GPT Image 2.5 Flare is a proprietary model — only azure (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to GPT Image 2.5 Flare?
If GPT Image 2.5 Flare doesn't fit, consider text-embedding-3-small, Ministral 3B, GPT Chat Latest. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More azure models
- text-embedding-3-small$0.02 in / $0.00 out
- Ministral 3B$0.04 in / $0.04 out
- GPT Chat Latest$5.00 in / $30.00 out
- o4-mini$1.10 in / $4.40 out
- text-embedding-ada-002$0.10 in / $0.00 out
Capability lists this model is in
마지막 업데이트:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.