AI Model Field Guide
Singapore edition / Independent field notes / 2026

Choose for the work,not the logo.

Six leading commercial AI models, compared on one practical page. No made-up overall winner—just three useful questions: what can it do, what will it cost, and when should you avoid it?

Last reviewed2 August 2026 · Singapore time
Pricing references official vendor pages
01 / Quick chooser

Start with the workload

Recommendations summarise vendor positioning, API capability and price structure. They are not cross-model benchmark results.

LONG-HORIZON

Complex reasoning, code and long-running agents

Test flagship models on your own production-shaped tasks, with special attention to tool reliability and recovery from failure.

GPT-5.6 Sol · Claude Opus 5
MULTIMODAL

Multimodal understanding and prototyping

Gemini's native multimodal stack and Google ecosystem deserve an early test, though the Pro model is still marked Preview.

Gemini 3.1 Pro Preview
ECONOMICS

Cost-sensitive API workloads at scale

DeepSeek publishes a notably low unit price. Benchmark throughput, latency, governance and target-language quality before launch.

DeepSeek V4-Pro
REGIONAL FIT

APAC deployment and multilingual work

For Singapore-based regional teams, compare data residency, service availability and English–Chinese quality. Qwen also offers a mainland China cloud path and CNY pricing.

Qwen3.7-Max
02 / At a glance

Core specifications at a glance

Prices show standard real-time API input / output cost per million tokens. Caching, Batch, tools, long context and regional rates may differ.

ModelPositioningContextInput / outputInput modesStatus
GPT-5.6 SolOpenAIFlagship for complex professional work, reasoning and coding1.05M$5 / $30USD / MTokText, imagesFlagship
Claude Opus 5AnthropicComplex agentic coding and enterprise work1M$5 / $25USD / MTokText, imagesGenerally available
Gemini 3.1 ProGoogleMultimodal understanding, agents and complex codingSee current model page$2 / $12≤200K promptMultimodalPreview
Grok 4.5xAIAgentic software, engineering and workflow tasks500K$2 / $6USD / MTokText, imagesAPI available
DeepSeek V4-ProDeepSeekThinking / non-thinking modes with strong unit economics1M$0.435 / $0.87cache miss / outputTextAPI available
Qwen3.7-MaxAlibaba CloudThinking / non-thinking modes with a mainland cloud path1M¥12 / ¥36CNY / MTok listTextGenerally available
03 / Model files

Six model files

The suggested fit is a starting point. Any procurement decision still needs internal testing for quality, security, latency and total cost.

01 · OPENAI

GPT-5.6 Sol

A flagship reasoning and coding model with broad tool support for complex professional work.

  • Context1.05M
  • Max output128K
  • ToolsWeb / File / Computer
Official model page ↗
02 · ANTHROPIC

Claude Opus 5

Built for complex agentic coding and enterprise work, with adaptive thinking and multi-cloud access.

  • Context1M
  • Max output128K
  • Relative latencyModerate
Official model page ↗
03 · GOOGLE

Gemini 3.1 Pro

Focused on multimodal work, difficult problems, agents and rapid coding; currently in Preview.

  • Price threshold200K prompt
  • Short-context output$12 / MTok
  • Release statusPreview
Official model page ↗
04 · XAI

Grok 4.5

Designed for agentic software, engineering and workflows, with reasoning, function calling and structured output.

  • Context500K
  • Cached input$0.30 / MTok
  • InputText, images
Official model page ↗
05 · DEEPSEEK

DeepSeek V4-Pro

One model supports thinking and non-thinking modes and is compatible with OpenAI- and Anthropic-style APIs.

  • Context1M
  • Max output384K
  • Tool callingSupported
Official pricing ↗
06 · ALIBABA CLOUD

Qwen3.7-Max

A 1M-context thinking / non-thinking model with CNY pricing and a mainland China cloud option.

  • Context1M
  • Real-time list price¥12 / ¥36
  • BatchListed at half price
Official pricing ↗
04 / Cost sketch

Estimate one request quickly

This sketch covers standard input and output tokens only. It excludes caching, search, tools, storage, regional pricing, Batch and discounts.

Estimated API cost
$1.10

100,000 input + 20,000 output tokens; standard real-time estimate.

05 / Read before buying

Four variables beyond price

Reliability is not a spec-sheet number

Stability with your tools, data and recovery paths predicts production performance better than a single public leaderboard score.

Long context is not effective memory

Window size is only an input ceiling. Test retrieval, attention decay, time to first token and tiered pricing separately.

Verify every data boundary

Training use, log retention and regional processing can differ across free tiers, paid APIs, enterprise contracts and cloud resellers.

Total cost includes failure

Output verbosity, retries, tool calls, cache hits and human review often shape the bill more than the headline token rate.

06 / Primary sources

Primary sources only

Models and prices move quickly. Recheck the vendor page on the day you buy or launch.