AI Models April 2026: Which Model Should Norwegian SMB Consultants Choose?

During April 2026, six major players launched or previewed new models. For Norwegian SMB consultants evaluating AI tools for their own operations or for clients, this means one thing: the options have multiplied, and prices vary more than ever.

Here is a practical comparison of the largest models, focused on what actually matters for a Norwegian business with 7-100 employees.

Models and pricing

Benchmark results

«—» = no public score. Figures are from each vendor's own announcements and BenchLM, an independent aggregator. DeepSeek V4 is in preview, so figures are preliminary.

Figures are from respective company announcements and BenchLM, an independent benchmark aggregator. DeepSeek V4 remains in preview, so figures are preliminary and based on internal testing.

Which Model Is Best for Coding?

Claude Opus 4.7 leads with 87.6% on SWE-Bench, a benchmark measuring how well a model solves real software engineering tasks. According to Anthropic's launch post, the model is particularly strong on "agentic" tasks, meaning tasks where the model plans, executes, and verifies its own work across multiple steps.

GLM-5.1 from Z.ai matches or exceeds this on SWE-Bench Pro, according to Z.ai's technical report. The model has 754 billion parameters and can run autonomously for up to eight hours. It is open-weight, meaning it can be run locally or in your own cloud.

Recommendation: For consultants building internal tools or client projects involving code, Claude Opus 4.7 is the safest choice today. GLM-5.1 is interesting for those with the expertise to self-host, but the model is so new that stability and documentation are still immature.

Which Model Is Best for Knowledge Work and Documents?

GPT-5.5 from OpenAI stands out with one million tokens of context window. This corresponds to roughly three novels, or several years of email correspondence in a single session. According to OpenAI's announcement, the model is optimized for "long-context reasoning", meaning finding connections across large document sets.

For Norwegian consultants working on due diligence, contract review, or large customer datasets, this means the entire material can be analyzed in one pass. Previously, documents had to be split up, increasing the risk that important details were lost.

Claude Opus 4.7 has 200K context, which is still sufficient for most use cases, but GPT-5.5 provides a margin for the largest projects.

Recommendation: GPT-5.5 is the first choice for consultants who regularly handle document packages exceeding 1000 pages.

Which Model Offers the Best Value?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens. By comparison, Claude Opus 4.7 costs 50 times more for input and 62 times more for output.

According to MiniMax's documentation, the model scores 87.4% on GPQA, a benchmark for scientific reasoning. This is better than GPT-5.5 (85%) and close to Claude Opus 4.7 (94.2%). On SWE-Pro, a stricter coding test, it scores 56.2%, which is middling.

Kimi K2.6 from Moonshot is in the same price range, around $0.60 per million tokens, and has a unique feature: "Agent Swarm", which lets the model delegate tasks to up to 300 sub-agents. According to Moonshot's blog, this is aimed at complex projects where multiple specialized tasks must be coordinated.

Recommendation: MiniMax M2.7 is the best choice for consultants with tight budgets and general AI assistance needs. Kimi K2.6 is interesting for those experimenting with multi-agent systems, but "Agent Swarm" is still experimental.

Which Model Is Easiest to Integrate?

GPT-5.5 has two clear advantages here. First, OpenAI's ecosystem is the most mature: ChatGPT, API, Codex, and numerous third-party tools are already in use at many Norwegian businesses. Second, documentation and SDKs are more developed than those of the Chinese competitors.

Claude Opus 4.7 has strong API support, but Anthropic's ecosystem is smaller. MiniMax, Kimi and GLM often require more technical adaptation, and the language barrier (documentation primarily in Chinese or English of varying quality) can be a factor.

DeepSeek V4 is open-weight, providing full flexibility, but also full responsibility for operations and security.

Recommendation: For consultants who want to get started quickly with minimal maintenance, GPT-5.5 or Claude Opus 4.7 are the safest choices.

Recommendation for Norwegian SMB Consultants

The choice of model should be driven by two factors: budget and use case.

High budget, code-focused: Claude Opus 4.7. Best agentic performance, reliable, good documentation.

High budget, document-focused: GPT-5.5. One million tokens of context covers most needs.

Tight budget, general use: MiniMax M2.7. Good enough for most tasks at a fraction of the price.

Experimental, technical expertise: GLM-5.1 or DeepSeek V4 (when finished). Open-weight provides flexibility, but requires self-hosting.

Special case, multi-agent: Kimi K2.6. "Agent Swarm" is fascinating, but too early for production at most SMB consultants.

FAQ

Which model is best for small businesses with a limited budget? MiniMax M2.7. At $0.30/$1.20 per million tokens, you get 87.4% on GPQA and good enough coding for most use cases. That's 50-62 times cheaper than Claude Opus 4.7.

Can I use multiple models at the same time? Yes. Many consultants use Claude Opus 4.7 for coding, GPT-5.5 for document analysis, and MiniMax M2.7 for daily assistance. The APIs are standardized and can be linked together in one workflow.

What does open-weight mean for a Norwegian business? Open-weight means the model can be run locally or in your own cloud, without dependency on external APIs. This gives control over data and costs, but requires technical expertise for operation and maintenance. For most SMB consultants, API-based models are easier to get started with.

Is DeepSeek V4 ready for production? No. As of April 2026, DeepSeek V4 is still in preview. Internal numbers look promising, but wait for independent benchmarks and stable API before using it for client projects.

What about K2.7 — is it out? No. The latest version from Moonshot is K2.6 (launched ~April 20, 2026). K2.7 does not exist yet.

Summary

April 2026 has given Norwegian SMB consultants a wider selection of AI models than ever. Prices range from $0.30 to $75 per million tokens, and performance varies accordingly. No model is best at everything. Claude Opus 4.7 leads on coding, GPT-5.5 on context, MiniMax M2.7 on value. For most consultants, a combination will be right: one model for coding, one for document work, and a cheaper one for daily assistance.

Want help choosing the right model for your business? Learn more about AI Kickstart or get in touch.