diff --git a/docs/roleplay.md b/docs/roleplay.md
index 6bf9986c..2707f125 100644
--- a/docs/roleplay.md
+++ b/docs/roleplay.md
@@ -162,11 +162,18 @@ usual safe-fallback statuses advance to the next entry. Set
 `provider:model` entries to replace the list. ClinePass uses `CLINE_API_KEY`
 and Cline's `reasoning.effort` field, up to `xhigh`.
 
-Production sets it (`wrangler.jsonc`, 2026-10-05) to GLM-5.3 on ClinePass, then
-MiMo-V2.6-Pro, GLM-5.3, GLM-5.3-Flash and GLM-5.2 on NanoGPT, then GLM-5.3-Flash and
-MiMo-V2.6-Pro on ClinePass. ClinePass GLM-5.3 gave its first words in about 4 s; MiMo on
-NanoGPT took 59 s, and 152 s on an adult turn, so a turn that falls back to it is slow.
-OpenCode Go and NavyAI's free plan were refusing every request, so they are left out.
+Production sets it (`wrangler.jsonc`, 2026-10-25) to DeepSeek V4.1 Flash, GLM-5.3 and
+MiMo-V2.6-Pro on OpenCode Go, then GLM-5.3 on ClinePass, then MiMo-V2.6-Pro, GLM-5.3,
+GLM-5.3-Flash and GLM-5.2 on NanoGPT, then GLM-5.3-Flash and MiMo-V2.6-Pro on ClinePass.
+In 24 test turns on OpenCode Go (scene continuation, conflict, out-of-character recall and
+a 20k-token lorebook lookup) every model answered and kept to the card. DeepSeek V4.1 Flash
+was fastest (median 5.2 s a turn), wrote nearly as well as GLM-5.3 and used about a
+thirtieth of GLM's allowance per turn, so it leads. GLM-5.3 wrote the strongest scenes
+(8.3 s). MiMo-V2.6-Pro was slowest (13.5 s), with the shortest replies and some
+point-of-view slips. Go meters each model against its own monthly allowance. ClinePass GLM-5.3 gave its first words in about 4 s; MiMo on NanoGPT
+took 59 s, and 152 s on an adult turn, so a turn that falls back to it is slow. OpenCode Go
+refused every request on 2026-10-05; the key it used then has since expired. NavyAI's free plan was
+refusing every request, so it is left out.
 
 With `ROLEPLAY_AUTO_ROUTE=intelligence`, plain `roleplay:auto` turns (and requests
 without a roleplay model) use the same chain. Turns that set `routing.mode` or
diff --git a/tests/test_roleplay_config_worker.mjs b/tests/test_roleplay_config_worker.mjs
index 993ab37e..6fb7a111 100644
--- a/tests/test_roleplay_config_worker.mjs
+++ b/tests/test_roleplay_config_worker.mjs
@@ -246,13 +246,18 @@ test("deployment defaults roleplay generation to high reasoning", async () => {
   assert.equal(config.vars?.ROLEPLAY_DEFAULT_REASONING_EFFORT, "high");
 });
 
-test("deployment starts roleplay on Cline Pass GLM 5.3 and keeps NanoGPT on the subscription", async () => {
+test("deployment starts roleplay on OpenCode Go, then Cline Pass, and keeps NanoGPT on the subscription", async () => {
   const configUrl = new URL("../wrangler.jsonc", import.meta.url);
   const config = JSON.parse(await readFile(configUrl, "utf8"));
 
-  // Measured 2026-10-05: Cline Pass GLM 5.3 answered first in about 4 s, so it leads; MiMo on
-  // NanoGPT is the first fallback. OpenCode Go and NavyAI's free plan refused every request.
+  // Measured 2026-10-25 on OpenCode Go (24 roleplay turns, every one answered): DeepSeek V4.1 Flash
+  // was fastest (median 5.2 s) and wrote nearly as well as GLM 5.3 for about a thirtieth of its
+  // allowance, so it leads; GLM 5.3 (8.3 s, the strongest scenes) is next, then MiMo-V2.6-Pro
+  // (13.5 s, the shortest replies). Cline Pass GLM 5.3 follows them; MiMo on NanoGPT is next.
   assert.deepEqual(config.vars?.ROLEPLAY_INTELLIGENCE_MODELS.split(","), [
+    "opencode:deepseek-v4.1-flash",
+    "opencode:glm-5.3",
+    "opencode:mimo-v2.6-pro",
     "cline-pass:cline-pass/glm-5.3",
     "nanogpt:xiaomi/mimo-v2.6-pro",
     "nanogpt:z-ai/glm-5.3",
diff --git a/wrangler.jsonc b/wrangler.jsonc
index deb6925c..5428ca70 100644
--- a/wrangler.jsonc
+++ b/wrangler.jsonc
@@ -110,7 +110,7 @@
 		"ROLEPLAY_PROVIDER_FAMILIES": "{\"nanogpt\":[\"glm\"],\"linkapi\":[\"kimi\"],\"navyai\":[\"glm\"]}",
 		"ROLEPLAY_PROVIDER_LIMITS": "{}",
 		"ROLEPLAY_AUTO_ROUTE": "intelligence",
-		"ROLEPLAY_INTELLIGENCE_MODELS": "cline-pass:cline-pass/glm-5.3,nanogpt:xiaomi/mimo-v2.6-pro,nanogpt:z-ai/glm-5.3,nanogpt:z-ai/glm-5.3-flash,nanogpt:z-ai/glm-5.2,cline-pass:cline-pass/glm-5.3-flash,cline-pass:cline-pass/mimo-v2.6-pro",
+		"ROLEPLAY_INTELLIGENCE_MODELS": "opencode:deepseek-v4.1-flash,opencode:glm-5.3,opencode:mimo-v2.6-pro,cline-pass:cline-pass/glm-5.3,nanogpt:xiaomi/mimo-v2.6-pro,nanogpt:z-ai/glm-5.3,nanogpt:z-ai/glm-5.3-flash,nanogpt:z-ai/glm-5.2,cline-pass:cline-pass/glm-5.3-flash,cline-pass:cline-pass/mimo-v2.6-pro",
 		"GLM_AUTO_OPTIMIZE": "true",
 		"GLM_AUTO_OPTIMIZE_TRIGGER_TOKENS": "8000",
 		"GLM_AUTO_OPTIMIZE_KEEP_RECENT_TURNS": "8",