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Model comparison
Anthropic's Claude Opus 5 against Google's Gemini 4 Argon: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
Gemini 4 Argon lists at $4.00 per million tokens blended against $10 for Claude Opus 5 - 2.5x less.
Gemini 4 Argon scores 53 on the intelligence index against 51 - 2 points apart.
Gemini 4 Argon reads 1.0M tokens at once, Claude Opus 5 1M.
Gemini 4 Argon was released about 3 months later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Claude Opus 5 | Gemini 4 Argon |
|---|---|---|
| Input price / 1M tokens | $5.00 | $2.00 |
| Output price / 1M tokens | $25.0 | $10.0 |
| Blended (3 in : 1 out) | $10.0 | $4.00 |
| Cached input / 1M | $0.50 | $0.10 |
| Context window | 1M | 1.0M |
| Max output | 128K | 944K |
| Input | text, image, file | audio, file, image, text, video |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 51 | 53 |
| Coding index | 78 | - |
| Agentic index | 57 | - |
| Released | Jul 24, 2026 | Oct 13, 2026 |
| Available on this deployment |
List price times tokens for three typical workloads; your mix of input and output decides which model's pricing suits you.
| Workload | Claude Opus 5 | Gemini 4 Argon | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $225 | $90.00 | $135 less on Gemini 4 Argon |
| Document summaries100M in, 5M out - long inputs, short answers. | $625 | $250 | $375 less on Gemini 4 Argon |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $800 | $320 | $480 less on Gemini 4 Argon |
Gemini 4 Argon is both cheaper and stronger on the intelligence index, so with both in the catalogue the router sends it almost everything; Claude Opus 5 earns a request only on something it alone offers - a longer context, a modality, a data boundary or a region your rules require.
# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
- { id: gemini-4-argon, kind: llm, metadata: { model: google/gemini-4-argon } }
- { id: claude-opus-5, kind: llm, metadata: { model: anthropic/claude-opus-5 } }
# rules.yaml - the cheaper model by default, the stronger one when the request is hard
rules:
- name: simple-requests-stay-cheap
when: { max_complexity: 0.45 }
prefer: [gemini-4-argon]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [claude-opus-5]
weight: 0.8Every Anthropic and Google model, with prices, is on the vendor pages; the rankings show what the router actually picks.