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Enterprise AI Coding Tools – Comparison Matrix 2026
The tool landscape for AI-supported development is changing fast. This matrix shows which tools pass enterprise procurement, and where the real differences lie.
Not every tool that impresses technically also meets the compliance, data sovereignty, and operating model requirements that apply in regulated environments. This overview helps with positioning along the dimensions that determine go or no-go in practice.
Tools compared
22
Enterprise dimensions
9
As of
7 Aug 2026 · editorial assessment
01 ·
Specification table: Go / No-go for enterprise
The dimensions where tool introductions in large organisations fail or get delayed.
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| Tool | Type | SWE-bench | Context | License | Compliance | On-prem | Price / Dev * | DACH Risk |
|---|---|---|---|---|---|---|---|---|
| Integrated platforms – own LLM + multi-agent | ||||||||
| Claude CodeAnthropic · USA · Opus 5 / Sonnet 5 / Haiku selectable | Pro 79.2% (Opus 5) | 1M | No | $20 / 100 / 200 /mo | ||||
| Codex App + CLIOpenAI · USA · GPT-5.6 Sol / Terra / Luna selectable | Pro 64.6% (Sol) | 1.05M (API) | CLI OSS, model prop. | No | $20 / 200 /mo | |||
| CopilotGitHub / Microsoft · USA | model-dep. | model-dep. (up to 1M) | + | No · EU | $10 / 39 / 100 /user/mo () | , | ||
| Gemini CLIGoogle · USA · Gemini 3.1 Pro | Pro 54.2% | 1M | + ISO | Vertex AI | Free, Pay-per-use | , GCP | ||
| Google AntigravityGoogle · USA · Gemini + third-party models | model-dep. | model-dep. | Not stated | No · desktop app, cloud agents | Free · enterprise on request | , GCP | ||
| CursorAnysphere · USA · Composer | model-dep. | Partial · ed agents (K8s, 03/26) · editor: no | $20 / 60 / 200 /mo | editor cloud-bound | ||||
| Devin DesktopCognition · USA · formerly Windsurf (acquired 07/25, rebrand 06/26) | model-dep. | , | /hybrid (enterprise) · : unconfirmed | $20 / 200 /mo | US vendor | |||
| Muse Code (beta)Meta (MSL) · USA · Muse Spark 1.2 | – | 262K | · closed weights | Not stated | No · macOS/Linux CLI | API $1.25/$4.25 per 1M · contributor $0.10/$0.20 | beta · cheap tier requires training consent | |
| Agent orchestrators – BYOK (no own LLM) | ||||||||
| OpenClawOpenClaw Foundation · Austria · since 08 Jul 2026 | dep. on LLM | dep. on LLM | None | Yes (ed) | Free + LLM cost | Security CVEs | ||
| Hermes AgentNous Research · USA · ~214k GitHub stars | dep. on LLM | dep. on LLM | None | Yes (ed) · from a small VPS | Free + LLM cost | young project · learning loop stores usage data | ||
| Cline / Kilo CodeCline Bot / Kilo · USA · ~2.5M installs | dep. on LLM | dep. on LLM | Teams: | Yes (ed) | Free + LLM cost | LLM choice = risk | ||
| GooseAAIF (Linux Foundation) · USA · ex-Block | dep. on LLM | dep. on LLM | None | Yes (ed) | Free + LLM cost | AAIF governance (Linux Foundation) | ||
| Open-weight models – self-hostable | ||||||||
| GLM-5.2Z.AI (Zhipu) · China · 753B MoE | Pro 62.1% (self-rep.) | 1M | None | 8× (FP8) | Infra only | |||
| GLM-4.7Zhipu AI · China · 355B-A32B | Ver. 73.8% | 200K | None | 4–8× GPU | Infra only | |||
| Qwen3-CoderAlibaba · China · 480B-A35B | Pro 38.7% | 256K–1M | None | Infra only | ||||
| Qwen3-Coder-NextAlibaba · China · 80B-A3B | Pro 44.3% | 256K | None | 1–2× GPU | Minimal | 3B active, limited | ||
| DeepSeek V4DeepSeek · China · Pro 1.6T-A49B / Flash 284B-A13B | Pro 55.4% | 1M (all services) | None | $0.14–0.87/M · Infra | CN, API privacy | |||
| MiniMax M3MiniMax · China | Pro 59% | 1M | minimax-community | None | ||||
| Kimi K3Moonshot AI · China · 2.8T params (104B active) | Ver. 93.4% (Vals AI) | 1M | Kimi K3 License (not ) | None | Yes · 64+ accelerators, ~1.4 TB weights | · revenue clause for MaaS operation | ||
| Kimi K2.7-CodeMoonshot AI · China · 1T-A32B | – | 256K | None | |||||
| Enterprise specialists – hybrid (cloud + VPC/on-prem) | ||||||||
| Augment CodeAugment · USA | – | 500K+ files | + | + On-Prem | $100 /mo (Team) | (Cloud) | ||
| Tabnine EnterpriseTabnine · Israel | – | + | + Air-gapped | $39 / 59 /user/mo | Air-gapped available | |||
Integrated platforms – own LLM + multi-agent
Claude CodeAnthropic · USA · Opus 5 / Sonnet 5 / Haiku selectable
- SWE-bench
- Pro 79.2% (Opus 5)
- On-prem
- No
- Price / Dev *
- $20 / 100 / 200 /mo
- DACH Risk
Codex App + CLIOpenAI · USA · GPT-5.6 Sol / Terra / Luna selectable
- SWE-bench
- Pro 64.6% (Sol)
- On-prem
- No
- Price / Dev *
- $20 / 200 /mo
- DACH Risk
CopilotGitHub / Microsoft · USA
- SWE-bench
- model-dep.
- On-prem
- No · EU
- Price / Dev *
- $10 / 39 / 100 /user/mo ()
- DACH Risk
- ,
Gemini CLIGoogle · USA · Gemini 3.1 Pro
- SWE-bench
- Pro 54.2%
- On-prem
- Vertex AI
- Price / Dev *
- Free, Pay-per-use
- DACH Risk
- , GCP
Google AntigravityGoogle · USA · Gemini + third-party models
- SWE-bench
- model-dep.
- On-prem
- No · desktop app, cloud agents
- Price / Dev *
- Free · enterprise on request
- DACH Risk
- , GCP
CursorAnysphere · USA · Composer
- SWE-bench
- model-dep.
- On-prem
- Partial · ed agents (K8s, 03/26) · editor: no
- Price / Dev *
- $20 / 60 / 200 /mo
- DACH Risk
- editor cloud-bound
Devin DesktopCognition · USA · formerly Windsurf (acquired 07/25, rebrand 06/26)
- SWE-bench
- model-dep.
- On-prem
- /hybrid (enterprise) · : unconfirmed
- Price / Dev *
- $20 / 200 /mo
- DACH Risk
- US vendor
Muse Code (beta)Meta (MSL) · USA · Muse Spark 1.2
- SWE-bench
- –
- On-prem
- No · macOS/Linux CLI
- Price / Dev *
- API $1.25/$4.25 per 1M · contributor $0.10/$0.20
- DACH Risk
- beta · cheap tier requires training consent
Agent orchestrators – BYOK (no own LLM)
OpenClawOpenClaw Foundation · Austria · since 08 Jul 2026
- SWE-bench
- dep. on LLM
- On-prem
- Yes (ed)
- Price / Dev *
- Free + LLM cost
- DACH Risk
- Security CVEs
Hermes AgentNous Research · USA · ~214k GitHub stars
- SWE-bench
- dep. on LLM
- On-prem
- Yes (ed) · from a small VPS
- Price / Dev *
- Free + LLM cost
- DACH Risk
- young project · learning loop stores usage data
Cline / Kilo CodeCline Bot / Kilo · USA · ~2.5M installs
- SWE-bench
- dep. on LLM
- On-prem
- Yes (ed)
- Price / Dev *
- Free + LLM cost
- DACH Risk
- LLM choice = risk
GooseAAIF (Linux Foundation) · USA · ex-Block
- SWE-bench
- dep. on LLM
- On-prem
- Yes (ed)
- Price / Dev *
- Free + LLM cost
- DACH Risk
- AAIF governance (Linux Foundation)
Open-weight models – self-hostable
GLM-5.2Z.AI (Zhipu) · China · 753B MoE
- SWE-bench
- Pro 62.1% (self-rep.)
- On-prem
- 8× (FP8)
- Price / Dev *
- Infra only
- DACH Risk
GLM-4.7Zhipu AI · China · 355B-A32B
- SWE-bench
- Ver. 73.8%
- On-prem
- 4–8× GPU
- Price / Dev *
- Infra only
- DACH Risk
Qwen3-CoderAlibaba · China · 480B-A35B
- SWE-bench
- Pro 38.7%
- On-prem
- Price / Dev *
- Infra only
- DACH Risk
Qwen3-Coder-NextAlibaba · China · 80B-A3B
- SWE-bench
- Pro 44.3%
- On-prem
- 1–2× GPU
- Price / Dev *
- Minimal
- DACH Risk
- 3B active, limited
DeepSeek V4DeepSeek · China · Pro 1.6T-A49B / Flash 284B-A13B
- SWE-bench
- Pro 55.4%
- On-prem
- Price / Dev *
- $0.14–0.87/M · Infra
- DACH Risk
- CN, API privacy
MiniMax M3MiniMax · China
- SWE-bench
- Pro 59%
- On-prem
- Price / Dev *
- DACH Risk
Kimi K3Moonshot AI · China · 2.8T params (104B active)
- SWE-bench
- Ver. 93.4% (Vals AI)
- On-prem
- Yes · 64+ accelerators, ~1.4 TB weights
- Price / Dev *
- DACH Risk
- · revenue clause for MaaS operation
Kimi K2.7-CodeMoonshot AI · China · 1T-A32B
- SWE-bench
- –
- On-prem
- Price / Dev *
- DACH Risk
Enterprise specialists – hybrid (cloud + VPC/on-prem)
Augment CodeAugment · USA
- SWE-bench
- –
- On-prem
- + On-Prem
- Price / Dev *
- $100 /mo (Team)
- DACH Risk
- (Cloud)
Tabnine EnterpriseTabnine · Israel
- SWE-bench
- –
- On-prem
- + Air-gapped
- Price / Dev *
- $39 / 59 /user/mo
- DACH Risk
- Air-gapped available
- → Claude model status: Fable 5 has been generally available again since 1 July 2026; Opus 5 was released on 24 July 2026 and is the current deployable flagship. Source: Anthropic newsroom, verified 7 August 2026. Availability and timelines may change at short notice.
- → Integrated vs. BYOK: Integrated platforms (blue) bring their own LLM, easy setup, but vendor lock-in. Orchestrators (orange) only coordinate, quality and compliance depend on the chosen LLM backend.
- ⚠ SWE-bench Pro measures real GitHub issues solved under standardized scaffolding. Figures are taken from vendor publications — for Claude Opus 5 from Anthropic’s system card of 24 July 2026 (table 8.1); figures without independent confirmation are marked "self-rep.". Important context: both scales are now contested. OpenAI classified "Verified" as contaminated and saturated in February 2026 and, on 8 July 2026, also retracted its recommendation for "Pro" — its own audit found roughly 30% of tasks to be broken (200 of 731 by automated review, 249 by five software engineers). No established successor exists yet. Two rows carry "Ver." figures: GLM-4.7 and Kimi K3 (third-party measurement by Vals AI). They sit on the older, easier scale and are not comparable with "Pro" figures. Treat these numbers as rough orientation, not a ranking. For BYOK tools the score depends on the chosen model anyway.
- → Open-weight ≠ free. GLM-5.2 self-hosting: 8× H100 GPUs (~$25k/mo cloud). Qwen3-Coder-Next (80B, 3B active) runs on consumer hardware from ~16 GB VRAM.
- ⚠ US Entity List: Zhipu AI (GLM-5.2, GLM-4.7) is on the US Entity List. In regulated industries, this can raise compliance questions even with an MIT license.
- ⚠ OpenClaw Security: A high-severity security flaw reported in 2026 affected, per security reports, numerous exposed instances (as of June 2026). Skills can contain prompt injection; network hardening and skill auditing are mandatory for enterprise use.
- → EU AI Act (state of the Digital Omnibus discussion, as of 06/2026, subject to change): high-risk obligations are expected to be postponed (e.g. Annex III → 12/2027, Annex I → 08/2028); from 08/2026 mainly the Article 50 transparency duties are likely to apply. Cloud APIs transfer code to external servers, check DPA clauses.
- ◆ Swiss advantage: EU adequacy status and technology-neutral FADP can favour self-hosting and local governance; there is no general intelligence sharing as in the Five Eyes alliance. Legal basis and individual cases still need review.
- → Enterprise sweet spot 2026: Orchestrator (Cline / Kilo Code) + local open-weight LLM for routine + frontier API (Claude / Codex) for complex tasks. Maximizes data sovereignty and code quality.
All prices in USD. The review date is recorded per row in the dataset; last broad review 07/08/2026. Prices, features, benchmarks, and licensing models change frequently in this market. The information presented here is indicative and does not claim to be complete or up-to-date. For binding terms: always consult the vendor's official pricing page.
Looking for image, video or audio models instead of coding tools? Open the media models matrix →02 · Next step
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03 · Key terms explained
Key terms explained (27) +
The most important technical terms from this comparison, explained neutrally.
- Data Residency
- Data is stored and processed in a chosen region (e.g. the EU), but the vendor still operates it, not to be confused with on-prem/self-hosting.
- self-host
- Running the software/model on your own infrastructure instead of the vendor's, full data control, full operational burden.
- H100
- NVIDIA data-centre GPU (80 GB), the reference class for AI inference, from ~CHF 30k each, or rented by the hour.
- US Cloud Act
- US law that can oblige American providers to hand data to US authorities, even when servers are located in Europe. Relevant for Swiss data-protection assessments.
- MS stack
- Strong coupling to the Microsoft ecosystem (GitHub, Azure, M365). An advantage if you already run Microsoft, otherwise an additional dependency.
- SOC 2 Type II
- Independent audit verifying the effectiveness of a provider's security controls over several months, stricter than Type I (point-in-time).
- SOC 2
- Audit standard for security, availability and confidentiality at cloud providers. A common minimum requirement in enterprise procurement.
- ISO 27001
- International standard for information-security management, certifies a systematic approach to security risks.
- ISO 42001
- New international standard specifically for AI management systems, governs responsible AI use in organisations.
- air-gapped
- Operation with no internet connection at all, the highest isolation level for highly sensitive environments (e.g. critical infrastructure).
- SSO/RBAC
- Single sign-on (central login) and role-based access control, table stakes for managing many users in an enterprise.
- BYOK
- "Bring Your Own Key": the tool ships without its own AI model, you connect a model of your choice (cloud API or local). Full model control, but quality depends on your choice.
- VPC
- Virtual Private Cloud, a logically isolated area within a public cloud. More control than standard cloud, less than your own data centre.
- ZDR
- Zero Data Retention, the provider does not store your inputs after processing.
- Open-weight
- The model weights are freely available, the model can run on your own hardware. Not necessarily open source in the strict sense.
- Proprietary
- Closed licence: usage only via the provider, no insight into model or code, no self-hosting.
- Apache 2.0
- Permissive open-source licence including commercial use and a patent-protection clause.
- Modified MIT
- MIT licence with vendor-specific additional clauses, review before commercial use.
- MIT
- Very permissive open-source licence: commercial use, modification and redistribution allowed.
- US Entity List
- US export-control list. Listed vendors (e.g. Chinese AI companies) can be cut off from US technology, a supply and compliance risk.
- GPU cluster
- Self-hosting requires several professional GPUs (typically from ~CHF 100k of hardware, or rented infrastructure).
- Infra-only
- No licence fees, you pay only for your own infrastructure (hardware/cloud) and operations.
- Credits
- Usage-based model: the monthly price corresponds to a usage allowance; heavy use costs extra.
- Codebase index
- The tool indexes your entire source code for project context, relevant for data-protection assessment.
- CN origin
- Chinese vendor: uncritical when self-hosting the open weights; Chinese data law applies when using the vendor's API.
- Integrated
- Complete package: tool and AI model come from the same vendor, least effort, most vendor lock-in.
- Hybrid
- Flexible deployment: cloud, your own private cloud, or fully in your own data centre.