GPT-5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro: 2026 Developer...
Gemini 3.1 Pro at $2/1M input offers 1M context and 80.6% SWE-bench, challenging pricier rivals.
A comprehensive comparison of 2026's flagship AI models reveals clear trade-offs. Claude Opus 4.6 from Anthropic claims the highest coding quality with 80.8% SWE-bench (single attempt) and up to 81.42% with prompt modification. Its 128K max output enables full file diffs and multi-file refactors in one response. The Agent Teams feature supports multi-agent orchestration. However, pricing at $5/$25 per 1M tokens (input/output) is the steepest among the three.
Google's Gemini 3.1 Pro is the price-performance champion: $2/$12 per 1M tokens for 1M context, trailing Opus by only 0.2 percentage points on SWE-bench. It also leads in GPQA Diamond (94.3% – PhD-level science) and supports native multimodal inputs. The 64K max output is its main limitation. OpenAI's GPT-5.4, available via OpenRouter at $2.50/$20 per 1M tokens with 1M context and 128K output, offers cached input at $0.625. However, public benchmark coverage remains limited. For budget-sensitive teams, GPT-5.2 at $1.75/$14 per 1M tokens with 400K context and 80.0% SWE-bench remains a strong contender. The recommendation: ship with Gemini or Claude now, evaluate GPT-5.4 in parallel.
- Claude Opus 4.6 achieves 81.42% SWE-bench with prompt modification and 128K max output, best for complex coding and agent tasks
- Gemini 3.1 Pro costs $2/$12 per 1M tokens, offers 1M context, and scores 94.3% on GPQA Diamond – best value for production workloads
- GPT-5.4 on OpenRouter has 128K max output and $0.625 cached input, but independent benchmarks are still scarce
Why It Matters
Developers can now choose between top-tier coding (Opus), best value (Gemini), or evolving contender (GPT-5.4) for production.