GPT-6 Sol vs Claude Opus 5.5 for Coding: Price, Context, Agents — Which to Pick

Short answer

These are models in different weight classes, so "which is smarter" is the wrong question — the right one is "which for this task". GPT-6 Sol is OpenAI's mid-tier: $2 / $10 per million tokens at list, 1.05M context (2× input above 272K), native agent Codex CLI. Claude Opus 5.5 is Anthropic's flagship: $4 / $20 at list, 1M context, native agent Claude Code. On TeamoRouter both run on one key, Sol at about 20–30% of its list price and Opus 5.5 at about 30–35% of its list price. Below: the table and a scenario-based rule.

Side by side

Live prices are on the pricing page; our prices change during the day, so the table gives them relative to list.

What the three big differences mean

Price: 4x

On the same session — 200k input and 20k output tokens — Sol costs $0.60 and Opus 5.5 $1.20 at list price; through TeamoRouter Opus 5.5 comes to about $0.36–0.42 and Sol to roughly a quarter of its list price. For one task the gap is small; for a team running agents all day, Opus costs about twice as much. So the question isn't "which model is better" but "on which tasks does the Opus premium pay for itself".

Context: both about 1M, but Sol charges more above 272K

Both models take about a million tokens of context (30–40k lines of code with docs). The difference is price: on Sol, a prompt over 272K input tokens is billed at 2× input and 1.5× output for the whole request, while Opus 5.5 bills the full 1M window at its standard rate. If your requests stay under 272K (roughly 8–10k lines with docs, enough for most services), this doesn't matter; for whole-monorepo prompts or long conversation histories, Sol's long-prompt surcharge narrows its price advantage.

Native agent

Codex CLI is designed around OpenAI models and the Responses API; Claude Code around Anthropic models and the Messages API. Through TeamoRouter you can call either model in either format, but the native agent-plus-model pair uses everything the tool offers (effort levels, subagents, system-prompt caching) without workarounds. If you already live in Codex, Sol is the natural pick; if in Claude Code, Opus 5.5.

Scenario-based rule

What most teams actually do is keep both: the cheap one as default, the expensive one on /model for the specific task. One TeamoRouter key covers both.

Switching between them with one key

Create the key in the console; the API host is the same for both models.

Codex CLI on Sol (~/.codex/config.toml):

model_provider = "teamorouter"
model = "gpt-6-sol"
[model_providers.teamorouter]
name = "TeamoRouter"
base_url = "https://api.teamorouter.ai/v1"
env_key = "OPENAI_API_KEY"
wire_api = "responses"

Claude Code on Opus 5.5 (environment variables):

export ANTHROPIC_BASE_URL=https://api.teamorouter.ai
export ANTHROPIC_AUTH_TOKEN="your TeamoRouter key"
export ANTHROPIC_DEFAULT_OPUS_MODEL=claude-opus-5-5

Both from one script — in the OpenAI-compatible format only the model field changes:

from openai import OpenAI
client = OpenAI(base_url="https://api.teamorouter.ai/v1", api_key="YOUR_KEY")

draft = client.chat.completions.create(model="gpt-6-sol", messages=[...])        # draft — cheap
review = client.chat.completions.create(model="claude-opus-5-5", messages=[...]) # review — expensive, but once

Step-by-step guides: GPT-6 Sol in Codex, Opus 5.5 in Claude Code.

Paying

Both models bill against one TeamoRouter balance, per token used. Card via Stripe or USDT, USDC or ETH from any exchange app (how); details in the billing FAQ.

FAQ

Can I run Opus 5.5 from Codex, or Sol from Claude Code? Technically yes through the gateway, but you lose the agent features designed around its native model. Simpler to keep the agent-plus-native-model pair and move tasks between agents.

What about GPT-6 Astra? That's OpenAI's flagship ($10 / $50), priced above Opus 5.5. If the task needs a top-tier model, the comparison is Astra vs Opus 5.5; Sol in that pair is the "several times cheaper for routine work" option.

Does caching work on both? Yes. The repeated part of a request (system instructions, the repo) is billed at the cache-read rate — several times cheaper than normal input on both. See the billing FAQ.

Next steps

• GPT-6 Sol via API
• Claude Opus 5.5 via API
• Create an API key — one for both models