Models · Best coding
GPT-5.5
by OpenAI
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency.
Our verdict
We have not reviewed GPT-5.5 yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About GPT-5.5
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks.
Notes
GPT-5.5 is listed in the EDNA Models directory from the OpenRouter catalogue.
Key facts
What we have checked
- Input price
- $5.00 per million tokens
- Output price
- $30.00 per million tokens
- Price on amazon-bedrock
- $0.550 per million cached input tokens
- Price on amazon-bedrock
- $5.50 per million input tokens
- Price on amazon-bedrock
- $33.00 per million output tokens
- Price on azure
- $0.500 per million cached input tokens
- Price on azure
- $5.00 per million input tokens
- Price on azure
- $30.00 per million output tokens
- Price on openai
- $0.250 per million cached input tokens
- Gpqa diamond
- 94% (for 23 Apr 2026)
- Swe bench verified
- 80.6% (for 23 Apr 2026)
- Frontiermath tiers 1 3 v2 private
- 85.3% (for 23 Apr 2026)
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
API access
How to call it
Call via OpenRouter with model id `openai/gpt-5.5`.
- openrouter ·
openai/gpt-5.5· Docs
OpenRouter id: openai/gpt-5.5
Price
What GPT-5.5 costs, over time
$5.00 to $5.00
$30.00 to $30.00
Prices by host
| Host | Price | Over time | Checked |
|---|---|---|---|
| amazon-bedrockCached input | $0.550 per million cached input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| amazon-bedrockInput | $5.50 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| amazon-bedrockOutput | $33.00 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| azureCached input | $0.500 per million cached input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| azureInput | $5.00 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| azureOutput | $30.00 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| openaiCached input | $0.250 per million cached input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| openaiInput | $2.50 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| openaiOutput | $15.00 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
Usage
How much GPT-5.5 is used
5.5B to 5B
Scores
How GPT-5.5 scores
Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.
| Score | Value | Source | Checked |
|---|---|---|---|
| Artificial Analysis Intelligence Index | 38.4indexAs of 26 Oct 2026 | Artificial Analysis via OpenRouter | |
| Artificial Analysis Coding Index | 74.9indexAs of 10 Nov 2026 | Artificial Analysis via OpenRouter | |
| Artificial Analysis Agentic Index | 36.4indexAs of 10 Nov 2026 | Artificial Analysis via OpenRouter | |
| LMArena text rating (Elo) | 1,471EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| LMArena web development rating (Elo) | 1,512EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| LMArena vision rating (Elo) | 1,296EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| Design Arena rating (Elo) | 1,284EloAs of 10 Nov 2026 | Design Arena via OpenRouter | |
| Apex agents (best-across-versions) | 55.1percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Arc agi (best-across-versions) | 95percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Arc agi 2 (best-across-versions) | 85percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Chess puzzles (best-across-versions) | 63percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Cl bench life (best-across-versions) | 22.2percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) |
Show 26 more scores
| Score | Value | Source | Checked |
|---|---|---|---|
| Deepresearch bench (best-across-versions) | 54percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Dtbench (best-across-versions) | 96percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Ebr bench (best-across-versions) | 34.3percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Exploitbench (best-across-versions) | 47.4percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Frontiercode (best-across-versions) | 43percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Frontiermath 2025 02 28 private (best-across-versions) | 51.7percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Frontiermath tier 4 2025 07 01 private (best-across-versions) | 35.4percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Frontiermath tier 4 v2 private (best-across-versions) | 72.5percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Frontiermath tiers 1 3 v2 private (best-across-versions) | 85.3percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Furniture assembly (best-across-versions) | 44.2percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Gpqa diamond (best-across-versions) | 94percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Gso bench (best-across-versions) | 40.2percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Lmca (best-across-versions) | 54.3percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Mirrorcode (best-across-versions) | 10percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Mystery game puzzles (best-across-versions) | 56percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Osworld 2 0 (best-across-versions) | 13percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Otis mock aime 2024 2025 (best-across-versions)Saturated | 100percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Posttrainbench (best-across-versions) | 27.2percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Proofbench (best-across-versions) | 50percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Remote labor index (best-across-versions) | 6.3percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Simplebench (best-across-versions) | 69percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Simpleqa verified (best-across-versions) | 63percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Surface evolver bench (best-across-versions) | 88.1percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Swe bench verified (best-across-versions) | 80.6percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Terminal bench (best-across-versions) | 84.7percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) | |
| Weirdml (best-across-versions) | 84.9percentAs of 23 Apr 2026 | Epoch AI (CC BY 4.0) |
- Saturated
- Top models score close to the maximum, so this test no longer separates them.
Sources
Where this comes from
- OpenRouter models APIThird party
- OpenRouter models APIOfficial
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
In the AI Pulse
Recent daily briefs from the Enterprise DNA AI Pulse that mention this. The short daily read on what is actually happening in AI.
- Frontier Labs Watch28 Aug 2026
DeepMind alumni claim their small orchestration team beats Opus 4.8 and GPT-5.5 at reproducing research
- AI Trends Pulse30 July 2026
OpenAI cut GPT-5.6 pricing hard
- Frontier Labs Watch22 July 2026
xAI claims Grok 4.5 plus its "Grok Build" agent beat GPT-5.5 and Claude Opus 4.8 on an independent real-work benchmark (GDPval+), with the widest margins in legal and healthcare tasks.
USAGE / OPENROUTER
How much GPT-5.5 is used
Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.
- Tokens, last 7 days
- 32.3B ▼0.6%
- Requests, last 7 days
- 4.5M
- Tool calls, last 7 days
- 532K
- People's vote
- 1471
- Average cost per request
- $1.11
- Price per million tokens
- $5 in · $30 out
MODEL FIELD GUIDE / SOURCE EVIDENCE
What you can do with GPT-5.5.
Listed specifications; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.
openai/gpt-5.5- Tool calling
- Listed support
- Structured output
- Listed support
- Reasoning controls
- Listed support
- Availability
- available
- Price basis
- token
- Licence verification
- Check the developer licence; the model name is insufficient
- Context length
- 1.1M tokens
- Knowledge cutoff
- 1 Dec 2025
- Developer release date
- Not established
- First seen in the catalogue
- 24 Apr 2026
- Listed retirement date
- Not established
Inspect the sources and their scope
openai/gpt-5.5: listed route capabilities, availability and prices; provider endpoints can differ.
Checked 2026-11-07Source for reasoning controls, first seen, tool calling, context length, input, knowledge cutoff, output, structured output.
Checked 2026-11-07FROM SPECIFICATIONS TO YOUR WORK
Is this the right model for your job?
Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.
What would it cost?
Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.
Enter a whole number of runs from 1 to 100,000,000.
Working out the cost...
Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗
Check the source
Price date: 10 Nov 2026, from OpenRouter models API. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.
Model source & availability ↗Understand the evidence
Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.
Coding Index: 74.9 (2026-11-09) ↗Agentic Index: 36.4 (2026-11-09) ↗Design Arena: 1283 (2026-11-09) ↗Get the free Developer’s Field Guide
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